Candidates must be legally authorized to work in the United States. <a href="https://himalayas.app/companies/lendingtree">LendingTree</a> and its affiliates (“<a href="https://himalayas.app/companies/lendingtree">LendingTree</a>”) will not provide or assume sponsorship for employment visas for this position, now or in the future.The Opportunity As a Data Engineer at <a href="https://himalayas.app/companies/lendingtree">LendingTree</a>, you’ll build the pipelines, models, and data services behind reporting, analytics, and data science across our lending and insurance businesses. You’ll tackle complex integration and modeling challenges, improve reliability and cost efficiency, and apply practical AI tools to help the team deliver better data solutions faster.<h3>How You’ll Make an Impact</h3><ul>
<li>Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications across multiple lines of business, with clear plans for schema changes, retries, and recovery.</li>
<li>Design dimensional models and reusable datasets for business, analytics, and data science needs. Perform complex data analysis to validate business rules, identify trends and anomalies, and uncover opportunities.</li>
<li>Own the reliability and efficiency of your data solutions: automate quality checks, monitor freshness, tune performance and compute costs, and participate in the on-call rotation to resolve incidents and prevent recurrence.</li>
<li>Create reusable frameworks and development patterns that improve delivery speed and consistency. Apply automated testing, code review, and repeatable deployments; maintain technical standards, runbooks, and learning materials.</li>
<li>Partner with business users and engineering teams to clarify requirements, resolve issues, and contribute to the data engineering roadmap, including platform capabilities, priorities, technical trade-offs, and delivery estimates.</li>
<li>Apply AI tools to development, testing, documentation, and troubleshooting. Validate generated code and results, protect sensitive data, and assess whether these tools improve quality and reduce delivery time.</li>
</ul><h3>Who You’ll Work With</h3>You’ll join the Data Engineering team, working with your manager, fellow engineers, and partners in analytics, data science, product, and business operations across Lending and Insurance. You’ll also collaborate with platform and infrastructure teams to manage dependencies, support production services, and turn business priorities into practical data solutions.<h3>What You’ll Bring</h3><ul>
<li>5+ years of hands-on experience in data engineering, including data warehousing, ETL/ELT development, and analytics, with a record of delivering and supporting production solutions.</li>
<li>Advanced SQL skills, including writing, tuning, and debugging complex queries and using data analysis to investigate problems.</li>
<li>Experience designing data lakes and warehouses on scalable, distributed platforms, with an understanding of batch and streaming integration patterns.</li>
<li>Strong dimensional modeling skills and sound data warehousing practices, including defining grain, fact and dimension tables, and how historical changes are represented.</li>
<li>Ability to deliver projects with minimal guidance in an Agile team, using testing, version control, documentation, and systematic troubleshooting to build maintainable solutions.</li>
<li>Clear written, verbal, and data presentation skills, including the ability to understand business needs and explain findings and technical decisions through documentation, presentations, or dashboards.</li>
</ul>What Will Help You Thrive You’re curious about the business behind the data, learn new tools thoughtfully, communicate issues early, and share both credit and lessons learned. Experience in any of the following is a plus:<ul>
<li>Snowflake virtual warehouses, performance and cost tuning, Streams and Tasks, and/or SQL Server.</li>
<li>Matillion, dbt, or similar tools for data integration and transformation.</li>
<li>Python, C#, or PowerShell for integration and automation; Git/GitLab for collaboration and CI/CD workflows.</li>
<li>Power BI, Tableau, or Streamlit for dashboards, data applications, and communicating insights.</li>
<li>using AI-assisted development tools such as Claude Code, Codex, Cursor, or Maia to accelerate coding, testing, documentation, and troubleshooting while validating generated code and results.</li>
<li>S. in Computer Science, Mathematics, or a related field, or equivalent practical experience.</li>
</ul><h3>What Success Looks Like</h3><ul>
<li>Production pipelines meet agreed freshness and reliability targets, with clear monitoring, ownership, and recovery procedures.</li>
<li>Business, analytics, and data science partners use tested models with consistent definitions and less manual reconciliation.</li>
<li>Query tuning and pipeline improvements produce measurable reductions in runtime, compute cost, or recurring incidents.</li>
<li>Reusable frameworks, useful documentation, and validated AI workflows shorten delivery time while maintaining quality.</li>
</ul><h3>Life at <a href="https://himalayas.app/companies/lendingtree">LendingTree</a>
</h3>We’re a collaborative, entrepreneurial team that’s curious, creative, and always ready to roll up our sleeves and get things done. You’ll work alongside smart, driven people who care about doing great work — and about helping each other succeed.We believe the best ideas come from different perspectives, and we’re committed to creating a workplace where people feel welcomed, valued, and empowered to make an impact. You’ll have the trust and flexibility to do your best work, the opportunity to take ownership and try new things, and teammates who genuinely enjoy working together.And while we work hard, we don’t take ourselves too seriously. We celebrate wins, recognize great work (our GSD — Get Stuff Done — Award is a fan favorite), and make time to have some fun along the way.Come grow with us, make an impact, and help us build what’s next.<h3>What We Offer</h3>We want you to feel supported at work and beyond. Our benefits and programs are designed to help you stay healthy, recharge, plan for the future, and bring your best to whatever matters most to you.<ul>
<li>Medical, dental, and vision insurance</li>
<li>401(k) matching</li>
<li>Generous time off</li>
<li>Wellness programs and resources</li>
<li>Annual performance bonus eligibility</li>
</ul><h3>Base Pay:</h3>The base pay range for this position is $100,000-130,000; pay offered may vary based on location, internal factors, job-related knowledge, skills, and experience.Incentive Compensation: This position is eligible for an annual performance bonus.Work Authorization: This role is not eligible for immigration sponsorship. Please do not apply for this role if you will need employer sponsorship now or in the future to begin or continue employment.<h3>Everyone Belongs Here</h3><a href="https://himalayas.app/companies/lendingtree">LendingTree</a> is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please email us at .CCPA DisclosureOriginally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Engineer

<a href="https://jobicy.com/company/discord" target="_blank" rel="noopener">Discord</a> has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.
Discord seeks a seasoned Data Engineer, focusing on our advertising product data. In this role, you will drive technical vision and strategy for ads data engineering in support of our ML initiatives while building and maintaining sophisticated data pipelines, datasets, and analytical tools. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results.
This role works heavily with Data Science, Machine Learning, and product. If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move!
What You'll Be Doing
<ul>
<li>Design and own core ads data models: fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases.</li>
<li>Build and maintain the ML data that enables ads ranking, delivery, and targeting - including feature development, label generation workflows, intra-day training, and ML input observability to catch data quality issues before they degrade model performance.</li>
<li>Build conversion measurement pipelines and integrate third-party attribution data - including Conversion Attribution and Mobile Measurement Partner (MMP) integrations (Adjust, AppsFlyer, Singular) - ensuring attribution accuracy and data parity across measurement surfaces.</li>
<li>Build batch and near real-time pipeline infrastructure across the ads ecosystem - pushing toward lower-latency data for ML and reporting use cases on our BigQuery + dbt + Dagster stack. Partnering with Data Platform on launch and success of new data processing engines to support low latency requirements..</li>
<li>Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale.</li>
<li>Proactively identify foundational data infrastructure gaps - including those with broad implications across ML, measurement, and reporting - and design scalable, canonical solutions that multiple teams can depend on.</li>
<li>Build systems from scratch in a rapidly evolving, greenfield advertising data environment - making sound architectural decisions with incomplete information and balancing short-term delivery with long-term infrastructure investment.</li>
<li>Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through clear narratives that connect data infrastructure decisions to business outcomes and revenue impact.</li>
<li>Mentor engineers through technical challenges, code and design reviews, and ownership of complex projects - contributing to the culture and engineering standards of the Data Engineering team team.</li>
</ul>
What you should have
<ul>
<li>5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (ad delivery, ranking, targeting, identity, conversion measurement).</li>
<li>Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure. Experience with Conversion Data and APIs, MMP integrations, or identity graph infrastructure is strongly valued.</li>
<li>Demonstrated experience building data models in a greenfield or 0-to-1 environment where requirements change frequently, documentation is sparse, and architectural decisions are made with incomplete information.</li>
<li>Expert-level SQL and Python. Strong ability to design performant, maintainable data models and write production-quality pipeline code.</li>
<li>Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets (billions+ rows) - including quality frameworks designed for ML inputs.</li>
<li>Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders.</li>
<li>Collaborative mindset and strong cross-functional instincts with experience building trusted working relationships with Data Science, ML Engineering, and Product teams.</li>
</ul>
Bonus Points
<ul>
<li>Passion for Discord or gaming communities</li>
<li>Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar)</li>
<li>Experience with designing data architecture to power a variety of use cases, including reporting (internal and external), adhoc analysis, experimentation.</li>
<li>Working with Data AI tools to establish greater self service utility for your customers.</li>
<li>Experience building near real-time or streaming pipeline infrastructure (e.g., Kafka, Spark Streaming, or equivalent) in addition to batch processing is preferred.</li>
</ul>
The US base salary range for this full-time position is $220,500 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. 
Why Discord? 
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking <a href="https://discord.com/terms/applicant-candidate-privacy-policy" rel="nofollow ugc noopener" target="_blank">HERE.</a>

Senior Data Engineer, Ads

About Our ClientThe organization operates a consumer marketplace that uses machine learning and generative AI to help millions of renters find homes. Founded in 2009, the platform features more than six million rental units and has secured approximately $169 million in funding. The company is advancing toward an AI-first strategy while modernizing the revenue, Salesforce, and data infrastructure that powers its marketplace. About the OpportunityThe Senior Data Engineer II leads the end-to-end design and management of data pipeline architecture within a focused, high-impact data platform team. This senior individual contributor role combines hands-on engineering, production operations, and independent architectural decision-making. The position helps shape how analytics engineering, data science, and product engineering teams build and operate on the data platform. Responsibilities&#x2022; Own architecture across data ingestion, transformation, modeling, and serving layers.&#x2022; Design improvements that optimize warehouse costs, compute efficiency, access control, reliability, and observability.&#x2022; Lead large cross-functional projects and multiple concurrent technical initiatives from design through delivery.&#x2022; Develop monitoring, testing, and alerting systems to improve production visibility and reliability.&#x2022; Enhance orchestration, CI/CD, data access, and developer experience across the platform.&#x2022; Mentor data and analytics engineers and provide technical guidance on architecture and data modeling decisions.&#x2022; Develop practical AI-powered tools and automation to increase engineering efficiency and team leverage.&#x2022; Troubleshoot production data infrastructure and resolve complex pipeline and platform issues.&#x2022; Communicate architectural decisions, tradeoffs, and technical recommendations to technical and non-technical stakeholders. Requirements&#x2022; 6&#x2013;9 years of experience as a data engineer or data platform engineer.&#x2022; Strong hands-on SQL and Python skills suitable for production environments.&#x2022; Production experience with containerized data infrastructure, including deployment and operational troubleshooting.&#x2022; Experience with pipeline orchestration tools such as Airflow.&#x2022; Experience with cloud data warehouses such as BigQuery.&#x2022; Proven ability to own data pipeline architecture end to end.&#x2022; Strong understanding of tradeoffs involving data freshness, cost, scalability, reliability, and system simplicity.&#x2022; Ability to communicate complex technical concepts and architectural tradeoffs effectively.&#x2022; US work authorization without current or future visa sponsorship. Pay Range and Compensation Package&#x2022; Base salary range of $145,000&#x2013;$207,000 per year.&#x2022; Competitive equity compensation. Benefits &amp; Perks&#x2022; Strong emphasis on sustainable work pace and work-life balance.&#x2022; High ownership within a small data platform team.&#x2022; Meaningful greenfield engineering opportunities.&#x2022; Fully remote work within the United States.&#x2022; Opportunity to attend company on-sites up to four times per year.&#x2022; Full-time senior individual contributor position. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company&#x2019;s career page or ATS.

Senior Data Engineer II

Big Data Application Developer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Big Data Application Developer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000&#x2013;$150,000 Annually Experience: 6+ years Sponsorship:&#x202F;U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an experienced Big Data Application Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Required Qualifications <ul><li>Bachelor&#x2019;s degree in Computer Science, Engineering, or a related technical discipline</li><li>Five or more years of professional experience designing and operating big-data pipelines on Hadoop</li><li>Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments</li><li>Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem</li><li>Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink</li><li>Strong SQL skills and experience working with both relational and NoSQL data stores</li><li>Experience with workflow orchestration tools such as Airflow or Oozie</li><li>Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance</li><li>Strong scripting skills in Python or Shell</li><li>Excellent troubleshooting, debugging, and documentation skills </li></ul>Preferred Qualifications <ul><li>Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks</li><li>Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi)</li><li>Exposure to data governance tooling such as Apache Atlas or Collibra</li><li>Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino)</li><li>Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows </li></ul>How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to&#x202F;jenny@bvteck.com&#x202F;or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees&apos; ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR u7cgLX5Eiq

Big Data Application Developer

Data Engineer Location: San Francisco, California, United States Industry: Software Development Work Setting: Remote Are you passionate about building modern data platforms, creating scalable data pipelines, and enabling data-driven decision-making through reliable, secure, and intelligent data systems? We are seeking a Data Engineer to own and evolve the organization&apos;s data platform, ensuring high-quality, accessible, and well-governed data that powers analytics, business operations, and AI-driven innovation.In this role, you will be responsible for designing, building, and maintaining end-to-end data infrastructure, including data ingestion, transformation, orchestration, warehousing, governance, and automation. You will work closely with engineering, product, operations, and business teams to create scalable solutions that unlock the full value of organizational data. Key ResponsibilitiesData Platform Engineering<ul><li>Own and manage the end-to-end enterprise data platform, ensuring reliability, scalability, security, and performance.</li><li>Design and maintain data architectures that support analytics, reporting, operational workflows, and AI initiatives.</li><li>Continuously improve platform capabilities, operational efficiency, and data accessibility.</li><li>Develop scalable systems that support evolving business requirements.</li></ul>Data Pipeline Development<ul><li>Build, optimize, and maintain robust data ingestion and transformation pipelines.</li><li>Design ETL/ELT processes that move data efficiently across platforms and systems.</li><li>Ensure data pipelines are reliable, observable, and capable of handling growing data volumes.</li><li>Automate data movement and processing workflows using modern engineering practices.</li></ul>Data Warehousing &amp; Modeling<ul><li>Manage and optimize cloud data warehouse environments.</li><li>Design and maintain scalable data models that support analytics, reporting, and self-service business intelligence.</li><li>Establish data structures that improve usability, performance, and consistency.</li><li>Partner with stakeholders to define metrics, dimensions, and business reporting standards.</li></ul>Data Quality &amp; Governance<ul><li>Implement data quality frameworks, validation processes, and monitoring solutions.</li><li>Establish governance controls that ensure accuracy, consistency, and trust in organizational data.</li><li>Manage data access controls, permissions, and compliance requirements.</li><li>Support data stewardship and governance initiatives across the organization.</li></ul>Orchestration &amp; Automation<ul><li>Develop and maintain orchestration frameworks that automate data workflows and dependencies.</li><li>Ensure efficient scheduling, monitoring, and recovery mechanisms for data processes.</li><li>Build operational tooling that improves visibility and platform observability.</li><li>Enhance platform reliability through automation and engineering best practices.</li></ul>AI &amp; Intelligent Data Solutions<ul><li>Support the integration of AI and machine learning capabilities within the data ecosystem.</li><li>Explore opportunities to automate workflows and enhance operations using AI-driven solutions.</li><li>Collaborate on initiatives that leverage enterprise data to power intelligent applications.</li><li>Contribute to innovative approaches that improve data accessibility and decision-making.</li></ul>Infrastructure &amp; DevOps<ul><li>Implement Infrastructure-as-Code and modern deployment practices.</li><li>Support cloud-native architectures, containerized environments, and scalable infrastructure solutions.</li><li>Establish CI/CD pipelines and deployment automation for data platforms.</li><li>Collaborate with platform and infrastructure teams to ensure operational excellence.</li></ul>Cross-Functional Collaboration<ul><li>Partner with engineering, product, analytics, operations, and business teams to understand data needs.</li><li>Translate business requirements into scalable technical solutions.</li><li>Provide technical guidance on data architecture, governance, and platform strategy.</li><li>Support organization-wide initiatives that rely on trusted and accessible data.</li></ul> Required Qualifications<ul><li>5+ years of experience building and maintaining production-grade data platforms.</li><li>Strong expertise in:</li><li>Snowflake</li><li>dbt</li><li>SQL</li><li>Python</li><li>Experience designing and maintaining modern data pipelines and data architectures.</li><li>Strong understanding of data modeling principles and best practices.</li><li>Experience with workflow orchestration tools such as:</li><li>Airflow</li><li>Dagster</li><li>Similar orchestration platforms</li><li>Experience implementing data governance and access management controls.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and stakeholder collaboration abilities.</li></ul> Key Technical Skills<ul><li>Snowflake</li><li>dbt</li><li>SQL</li><li>Python</li><li>ETL / ELT Development</li><li>Data Pipelines</li><li>Data Modeling</li><li>Data Governance</li><li>Data Warehousing</li><li>Data Quality Management</li><li>Airflow</li><li>Dagster</li><li>AWS</li><li>Terraform</li><li>Kubernetes</li><li>CI/CD</li><li>Infrastructure as Code</li><li>Workflow Automation</li><li>Data Architecture</li><li>Analytics Engineering</li></ul> Preferred Qualifications<ul><li>Experience supporting AI, machine learning, or intelligent automation initiatives.</li><li>Hands-on experience building cloud-native data platforms.</li><li>Experience implementing data observability and monitoring frameworks.</li><li>Knowledge of modern analytics engineering practices.</li><li>Experience supporting enterprise-scale governance and security initiatives.</li><li>Background working within fast-growing technology-focused organizations.</li></ul>

Data Engineer

<div class="content-intro">
<h3>About Us</h3>
<a href="https://himalayas.app/companies/ujet">UJET</a> leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. <a href="https://himalayas.app/companies/ujet">UJET</a>'s AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, <a href="https://himalayas.app/companies/ujet">UJET</a> ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, <a href="https://himalayas.app/companies/ujet">UJET</a> partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world.
Learn more at .
</div><h3>Opportunity</h3><a href="https://himalayas.app/companies/ujet">UJET</a> is looking for a Data Engineer to join our growing Data Platform team. You'll own our data systems end to end: CDC replication out of production MySQL, the pipelines and jobs that shape data in BigQuery, the Terraform-managed infrastructure underneath, and the Looker models on top. dbt is central to how we work. You'll build models yourself and set the patterns that let analysts, product partners, and engineers ship their own safely. You should be comfortable debugging a replication issue in the morning and tuning a Looker explore in the afternoon.This data powers reporting for thousands of customer tenants, including embedded Looker analytics for enterprise customers, and the internal metrics our Operations and Finance teams run the business on. Over the coming year, our focus is data trust and reliability, platform modernization, and treating data as a product. You'll help shape all three.<h3>Our Stack</h3><ul>
<li>
Sources and ingestion: Cloud SQL (MySQL) and BigQuery via GCP Datastream (CDC)</li>
<li>
Warehouse and transformation: BigQuery, dbt (dbt Labs)</li>
<li>
Orchestration: GKE-based, using Kubernetes CronJobs and Argo Workflows</li>
<li>
Semantic layer and reporting: Looker / LookML </li>
<li>
Languages: Python and SQL; core application infra is Ruby on Rails and Go</li>
</ul><h3>What You'll Do</h3><h3>Data platform enablement</h3><ul>
<li>Build and evolve the data platform foundations that make it easy and safe for others to ship dbt work (project structure, environments, permissions, patterns, documentation)</li>
<li>Establish and maintain standards and guardrails for dbt development (testing strategy, source freshness, documentation, code review practices)</li>
<li>Improve the developer experience for data workflows, including CI/CD, automated checks, and repeatable deployment patterns</li>
<li>Manage data infrastructure as code with Terraform, including pipelines, IAM, and environments</li>
</ul><h3>Ingestion and CDC</h3><ul>
<li>Improve and troubleshoot CDC replication from MySQL to BigQuery with Datastream</li>
<li>Build tooling for backfills, drift detection, and reconciliation between source databases and the warehouse</li>
<li>Contribute to infrastructure decisions on data ingestion and platform evolution, including latency, throughput, and alternative CDC approaches</li>
</ul><h3>Trusted metrics and analytics</h3><ul>
<li>Partner with Analytics and Finance to define and deliver trusted metrics and dashboards in Looker</li>
<li>Build and maintain analytics-ready datasets that support self-serve reporting and experimentation</li>
<li>Support customer-facing, multi-tenant reporting with a focus on correctness, tenant isolation, and query performance</li>
</ul><h3>Data modeling and transformation (dbt + BigQuery)</h3><ul>
<li>Develop and optimize BigQuery data models for analytics and product use cases</li>
<li>Implement ELT best practices in dbt, including testing, documentation, and versioning</li>
</ul><h3>Pipelines, reliability, and cost</h3><ul>
<li>Design, build, and maintain scalable data pipelines using Python, dbt, and containerized jobs on GKE</li>
<li>Ensure data quality, reliability, and observability for critical datasets and reporting</li>
<li>Optimize performance and cost across BigQuery and data pipelines</li>
</ul><h3>Cross-functional delivery</h3><ul>
<li>Integrate data workflows with backend services and APIs</li>
<li>Work with Product and Engineering to translate business needs into data solutions</li>
</ul><h3>Requirements</h3><ul>
<li>5+ years of software engineering experience, with deep data platform experience</li>
<li>Strong programming skills in Python</li>
<li>Strong SQL skills and experience with analytical data modeling</li>
<li>Hands-on experience with BigQuery (or a similar cloud data warehouse)</li>
<li>Production experience with dbt (dbt Labs), including building models yourself</li>
<li>Experience building or improving the infrastructure around data workflows (reliability, observability, CI/CD, permissions, environments, deployment patterns)</li>
<li>Experience with infrastructure as code, preferably Terraform</li>
<li>Experience with a major cloud platform (GCP preferred)</li>
<li>Strong software engineering fundamentals (testing, version control, code reviews)</li>
</ul><h3>Preferred Qualifications</h3><ul>
<li>Experience with GCP services (Datastream, Cloud Storage, Cloud Run, and Pub/Sub)</li>
<li>Change data capture experience (GCP Datastream or MySQL binlog/GTID replication)</li>
<li>Experience with Kubernetes-based orchestration (Argo Workflows or similar)</li>
<li>Experience with Looker (LookML, semantic modeling, dashboards)</li>
<li>Familiarity with Ruby on Rails or Go, which power the application-layer services our data platform depends on</li>
<li>Experience collaborating with Product to gather requirements and translate business needs into data solutions</li>
</ul><h3>Compensation</h3>Annual US Hiring Range: $140,000 – $160,000**A candidate's actual placement within this range will depend on geographic location, work experience, education, and/or skill level.<div class="content-conclusion">
<h3>Why <a href="https://himalayas.app/companies/ujet">UJET</a>?</h3>
<ul>
<li>
Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience. </li>
<li>
Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.</li>
<li>
Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more.</li>
</ul>
<h3>
<a href="https://himalayas.app/companies/ujet">UJET</a> is an Equal Opportunity Employer</h3>
<a href="https://himalayas.app/companies/ujet">UJET</a> provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
<h3>Compliance Responsibilities</h3>
Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at <a href="https://himalayas.app/companies/ujet">UJET</a> require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within <a href="https://himalayas.app/companies/ujet">UJET</a>. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.
<h3>AI Use in Our Hiring Process</h3>
<a href="https://himalayas.app/companies/ujet">UJET</a> uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions, does not conduct interviews, and has no authority to reject or advance a candidate on its own. All application review decisions, candidate screening, and interviews are conducted by members of our human recruiting and hiring teams.
<h3>Reasonable Accommodation</h3>
If you would like to request a reasonable accommodation as part of the application process, including an alternative to AI-assisted screening, please contact .
<h3>Work Authorization &amp; Sponsorship</h3>
Applicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship. <a href="https://himalayas.app/companies/ujet">UJET</a> does not sponsor employment visas for this role.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

About Us At Benepass we&apos;re making benefits easy. We believe people are the most important asset to any company. Traditional one-size-fits-all benefits packages no longer cut it in today&apos;s hybrid and remote-first environment. With Benepass, companies can tailor their benefits to the unique needs of their workforce. Through our easy-to-use and highly customizable fintech platform, People teams can implement, administer, and track the benefits that meet employees where they are. Employers design their benefits and perks plan by setting a contribution amount and eligible spend categories. Every employee has their own individual definition of wellness and needs different things to help them be their most productive, fulfilled self. Our Mission Helping companies reimagine how companies take care of their people. Our Investors We are backed by leading investors, including Centana Growth Partners, Portage Ventures, Threshold Ventures, Gradient Ventures, Workday Ventures, and Clocktower Technology Ventures. To date, the company has raised approximately $75 million in equity capital. Articles <ul><li>Founder Story - Jaclyn Chen</li><li>Benepass Raises $40M Series B </li></ul>Candidate Resources <ul><li>Benepass | Candidate Resource Page</li><li>Benepass Listed on Inc. Magazine&apos;s Best Workplaces of 2023 </li></ul>TEAM &amp; ROLE Benepass is hiring a Senior Data Engineer to build and scale the data platform that powers analytics, product reporting, and operational intelligence across the company. You will work on a small, high-impact data team that owns the warehouse, pipelines, transformation layer, semantic layer, and the infrastructure that makes data accessible, trustworthy, and fast. This is a hands-on senior IC role. You will own the architecture and implementation of data systems from the current 0&#x2192;1 foundation to 1&#x2192;N scale. You will partner with Product, Engineering, Customer Operations, GTM, and Finance to understand data needs, then design and build the pipelines, models, and platform capabilities that support those needs. You will take ownership of data quality, performance, cost, and the developer experience of everyone who works with data at Benepass. Your work enables data scientists, analysts, operators, and product teams to move fast with confidence. When this role is working, data is available when teams need it, queries run fast and stay cheap, definitions are clear and versioned, and the platform scales cleanly as the business grows. This is a force-multiplier role. You will build shared infrastructure, not one-off reports. You will balance short-term delivery with long-term architectural integrity. You will bring strong opinions on tooling, patterns, and quality, while staying pragmatic about build-vs-buy trade-offs and speed to value. YOU WILL Build and Scale the Data Platform <ul><li>Own the design and implementation of Benepass&apos;s data platform: warehouse (Redshift Serverless), replication (Airbyte/DMS), orchestration, transformation (dbt), and semantic layer (Cube).</li><li>Architect data pipelines that reliably replicate production data (Aurora/RDS, application databases) into the warehouse with correct handling of PII, multi-tenancy, and data residency constraints.</li><li>Maintain and evolve orchestration and job scheduling infrastructure so pipelines run reliably, recover gracefully from failures, and surface clear observability when things break.</li><li>Design the platform for performance and cost: query patterns, materialization strategies, incremental models, partitioning, and warehouse scaling/tuning.</li><li>Make pragmatic build-vs-buy decisions; favor leverage and speed over custom solutions where mature tooling exists. </li></ul>Own Data Quality, Governance, and Correctness <ul><li>Build data quality checks, automated testing, and validation into every pipeline and model so bad data gets caught before it reaches stakeholders.</li><li>Define and enforce patterns for data grain, slowly changing dimensions, multi-tenant access controls, and row-level security so financial and benefits data stays correct under scrutiny.</li><li>Work with Engineering on source data contracts, instrumentation gaps, and schema evolution so upstream changes don&apos;t break downstream reporting.</li><li>Maintain clear lineage, documentation, and metadata so people know where data comes from, what it means, and when it was last refreshed.</li><li>Partner with Security and Compliance on data residency, encryption, access controls, and audit requirements for regulated data. </li></ul>Enable Self-Service Analytics and Product Reporting <ul><li>Design and build dbt models (staging through marts) that codify business logic, dimensional models, and metrics in version-controlled SQL.</li><li>Author and maintain Cube models and measures so governed metrics serve cleanly into BI tools (Metabase, Looker, etc.), product reporting surfaces, and internal dashboards.</li><li>Implement row-level security patterns in Cube so multi-tenant data stays isolated and access controls reflect the business model.</li><li>Optimize for query speed: pre-aggregations, caching strategies, and materialized views that let stakeholders query large datasets interactively.</li><li>Provide clear paths for analysts and data scientists to extend models, write safe queries, and build new reports without waiting for engineering. </li></ul>Partner Across The Company To Deliver Data Solutions Product &amp; Engineering <ul><li>Work with Product to understand data needs for internal tools, customer-facing reporting, and product analytics.</li><li>Partner with Engineering (Core Services, Client Apps, Platform) to instrument events, define schemas, and close gaps where product data doesn&apos;t land cleanly in the warehouse.</li><li>Collaborate on production pipelines that power product features: reporting surfaces, usage dashboards, and data-driven workflows. </li></ul>Customer Operations, GTM, and Finance <ul><li>Support Customer Operations with data for implementation health, claims/CX metrics, utilization, and operational quality.</li><li>Provide GTM/Sales with pipeline, conversion, and retention data that joins Salesforce with product usage and warehouse data.</li><li>Work with Finance on revenue, margin, billing, and financial reporting requirements; ensure financial data is reconcilable and audit-ready. </li></ul>Data Scientists and Analysts <ul><li>Build the foundation analysts and data scientists depend on: clean staging models, dimensional marts, and governed metrics.</li><li>Provide documentation, training, and support so engineers and analysts can extend models and write queries safely.</li><li>Collaborate on complex analyses where data engineering work unlocks science or speeds decision-making. </li></ul>Drive Platform Reliability, Performance, And Developer Experience <ul><li>Own the end-to-end reliability of data pipelines: monitoring, alerting, incident response, and post-mortems when things break.</li><li>Improve query performance and cost: identify slow queries, optimize models, tune warehouse configuration, and right-size resources.</li><li>Build tooling and automation that reduces toil: deployment workflows, testing frameworks, data refresh triggers, and observability.</li><li>Maintain clear documentation, runbooks, and onboarding materials so the platform is accessible to new team members and partners.</li><li>Introduce new tools and patterns when they compound platform leverage; balance experimentation with production stability. </li></ul>Shape the Data Platform Roadmap <ul><li>Identify architectural gaps, technical debt, and scaling bottlenecks; propose solutions with clear trade-offs and sequencing.</li><li>Lead the evaluation and adoption of new platform capabilities: real-time data, streaming pipelines, CDC patterns, data catalogs, or next-generation BI/semantic layers.</li><li>Advocate for platform investments that multiply team impact: better observability, faster development cycles, cleaner abstractions, and lower operational overhead.</li><li>Partner with the Platform lead to align data infrastructure with broader AWS/Kubernetes/infra patterns and security posture. </li></ul>About You A Senior Data Platform Builder <ul><li>You&apos;ve built data platforms from the ground up or scaled them through significant growth.</li><li>You write production-quality SQL and Python; you&apos;re fluent in modern data stacks (warehouse, orchestration, transformation, BI/semantic layers).</li><li>You have strong opinions on data modeling, testing, and quality, with pragmatism about when to cut scope and ship.</li><li>You design systems for correctness first, then performance, then cost; you care deeply about data integrity in regulated domains.</li><li>You ship incremental value while keeping long-term architecture coherent. </li></ul>A Technical Leader and Force Multiplier <ul><li>You operate at a senior IC level (P4): you take ownership of ambiguous problems and drive them to durable solutions.</li><li>You partner across Product, Engineering, Customer Operations, GTM, and Finance without needing a formal PM or project manager.</li><li>You mentor data scientists, analysts, and engineers; you raise the bar for how the company thinks about data.</li><li>You make build-vs-buy decisions that favor leverage and team velocity.</li><li>You communicate technical trade-offs clearly to non-technical stakeholders and advocate for platform investments that compound. </li></ul>Requirements <ul><li>5+ years of data engineering experience, with growing ownership of platform architecture, data pipelines, and data quality.</li><li>Strong SQL and Python; experience building production data pipelines on modern data stacks.</li><li>Hands-on experience with data warehouses (Redshift, Snowflake, BigQuery) and transformation frameworks (dbt).</li><li>Experience building and maintaining data replication pipelines (CDC, DMS, Airbyte, Fivetran, or similar).</li><li>Solid understanding of dimensional modeling, data grain, slowly changing dimensions, and data quality patterns.</li><li>Experience with semantic layers or metrics platforms (Cube, LookML, MetricFlow) and how they serve governed metrics into BI tools.</li><li>Comfort with AWS data services (RDS, S3, Redshift, DMS, Lambda) and infrastructure-as-code (Terraform preferred).</li><li>Experience working with PII, multi-tenant data, row-level security, and compliance requirements in regulated domains (fintech, healthcare, benefits).</li><li>Clear written and verbal communication; you can explain technical decisions to stakeholders across the company.</li><li>Fit with a high-ownership, high-trust culture. We hire for skill and for how people work with others. </li></ul>Nice to have <ul><li>Experience with orchestration tools (Airflow, Dagster, Prefect, Mage).</li><li>Real-time data, streaming pipelines, or CDC patterns (Kafka, Kinesis, Debezium).</li><li>BI tools (Metabase, Looker, Omni, Superset, Tableau).</li><li>Data observability and cataloging tools (Monte Carlo, Great Expectations, Atlan).</li><li>Fintech, payments, benefits, or healthcare domains where data correctness and compliance are critical.</li><li>Experience with Kubernetes, Docker, or containerized data workloads.</li><li>Exposure to data science workflows: feature engineering, experimentation platforms, or ML pipelines. </li></ul>OUR TECHNOLOGY AND STACK AWS (Aurora/RDS, DMS, Redshift Serverless, S3, Lambda), dbt, Cube, Airbyte, Python, SQL, Metabase, Terraform, Docker, Kubernetes. Most of your build time will be in SQL, Python, dbt, and data infrastructure on AWS. ROLE LOCATION &amp; TRAVEL You will be expected to attend company-wide on-site events three times per year. Compensation <ul><li>Base Salary $175,000 to 195,000 + equity </li></ul>Range(s) is subject to change. Benepass takes a number of factors into account when determining individual starting pay, including market comparables, interview performance, peer compensation, and years of experience. What We Offer <ul><li>95% coverage of medical, dental, and vision</li><li>Fantastic benefits (of course &#x1F603;), including:</li><ul><li>$250 WFH setup (one time)</li><li>$500/year Learning &amp; Development Benefit</li><li>$150/month cell phone + internet</li><li>$100/month Wellness</li><li>$100/month Co-working and Commuter Benefit</li></ul><li>We offer several team onsites a year</li><li>Flexible PTO </li></ul>At Benepass, we are working towards reimagining how companies take care of their people. We are committed to creating an inclusive environment for all our employees and are seeking to build a team that reflects the diversity of the people we hope to serve with our revolutionary products. Benepass is proud to be an equal-opportunity employer.

Sr. Data Engineer

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $4B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity. What We Offer <ul><li>Flexible time off policy </li><li>401K Company match (up to 4% - dollar for dollar)</li><li>Professional development, training, and tuition reimbursement programs</li><li>Excellent medical, dental, vision, and life insurance policy options</li><li>Opportunities for career advancement with an industry leading company! </li></ul>We are seeking an experienced ETL Developer to design, develop, maintain, and optimize enterprise data integration solutions. The ideal candidate will be responsible for extracting data from multiple source systems, transforming data according to business requirements, and loading it into data warehouse. This role requires strong SQL skills, expertise in data warehousing concepts, and experience with modern data integration and orchestration tools. This position will be able to work remotely from anywhere in the United States. Key Responsibilities Data Integration &amp; Development <ul><li>Design, develop, and maintain ETL/ELT processes to support enterprise reporting and analytics.</li><li>Develop source-to-stage and stage-to-data warehouse data pipelines.</li><li>Create and maintain data transformation logic, mappings, and business rules.</li><li>Develop and optimize database views, stored procedures, and SQL scripts.</li><li>Integrate data from databases, APIs, file systems, and third-party applications.</li><li>Implement error handling, logging, monitoring, and recovery processes within ETL workflows. </li></ul>Data Warehouse &amp; Data Management <ul><li>Support enterprise data warehouse architecture and data modeling initiatives.</li><li>Ensure data quality, consistency, and integrity throughout the data lifecycle.</li><li>Perform data validation, reconciliation, and root cause analysis.</li><li>Collaborate with business analysts and stakeholders to translate requirements into technical solutions.</li><li>Document data flows, mappings, technical specifications, and operational procedures. </li></ul>Orchestration &amp; Automation <ul><li>Develop and maintain workflow scheduling and orchestration processes.</li><li>Configure job dependencies, alerts, notifications, and automated recovery procedures.</li><li>Monitor ETL jobs and proactively identify performance bottlenecks.</li><li>Support production deployments and post-deployment validation activities. </li></ul>Support &amp; Continuous Improvement <ul><li>Troubleshoot ETL failures and data quality issues.</li><li>Participate in code reviews and adherence to development standards.</li><li>Recommend improvements to data integration processes and system performance.</li><li>Support production incidents and perform impact analysis as needed. </li></ul>Required Qualifications <ul><li>3+ years of experience developing ETL/ELT solutions.</li><li>Strong experience with SQL and relational database platforms.</li><li>Experience with data warehouse concepts, dimensional modeling, and data integration.</li><li>Experience with ETL tools such as Azure Data Factory &amp; Fabric.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working with APIs, flat files, XML, JSON, and other data formats. </li></ul>Preferred Qualifications <ul><li>Knowledge of data lake and lakehouse architectures.</li><li>Experience with workflow scheduling tools such as Redwood RunMyJobs or equivalent.</li><li>Experience with Service Now.</li><li>Familiarity with Power BI and enterprise reporting platforms.</li><li>Familiarity with Linux.</li><li>Experience with Change Data Capture (CDC) and real-time data integration.</li><li>Understanding of DevOps, CI/CD, and source control tools.</li></ul>

ETL Developer (Azure Data Factory/MS Fabric) - Remote Opportunity

Prominence Advisors is actively seeking a Data Engineer (Snowflake) to join our team. Who We Are Prominence is a healthcare and life sciences technology and consulting firm dedicated to helping leading organizations do more with their data. With deep expertise across the full ecosystem &#x2014; spanning providers, payers, and life sciences &#x2014; we turn complex data into actionable insight. We deliver a full spectrum of services, including advisory, analytics, optimization, and IT staffing. Our work helps organizations operate more efficiently, improve patient outcomes, and deliver measurable financial impact through smarter use of data. Recognized as a 2x Best in KLAS organization, we partner with more than 120 health systems and 40 life sciences organizations, including 7 of the top 10 U.S. News &amp; World Report-ranked institutions. Through our life sciences brands, Tegra Analytics and WLH Consulting &amp; Learning Solutions, we extend these capabilities to pharmaceutical and biotech organizations &#x2014; combining data, consulting, and learning to advance commercial excellence. By connecting strategy, data, and execution, we help organizations translate data into clarity, strategy into action, and vision into measurable results. At our core, we are a people-first, values-driven organization that believes strong teams and trusted partnerships are what ultimately make healthcare and life sciences smarter. Your Role Our consultants guide our customers through complex data challenges to summit the task at hand. As a Data Engineer, you will design, build, and maintain pipelines and workflows that enable our customers to put their data to work. You will need to be able to create order out of chaos, transforming raw sources into clean, reliable, and scalable data streams. Our ideal team members are humble, smart, and driven to ensure our customer&apos;s success. This includes a passion to deliver high-quality results, while teaching our counterparts how to fish and grow the skills needed to support and expand upon the deliverables of our projects. If this sounds like you, and you meet the requirements below, we encourage you to apply. If you know of someone else who would be a great fit, let us know. Requirements Prominence is looking for a Data Engineer with deep Snowflake experience and strong SQL and Python skills to help us build and optimize data pipelines in partnership with some of the nation&apos;s leading healthcare providers. Our ideal candidate has built and operated production workloads on Snowflake &#x2014; not just queried them &#x2014; and understands how warehouse sizing, data modeling, and pipeline design translate directly into performance and cost. You should be able to build scalable data pipelines that ingest, transform, and deliver data from diverse sources (EHRs, claims, APIs, CRM) into analytics-ready structures in Snowflake. You should also be well versed in DevOps practices, integrating pipeline development with version control and CI/CD to support repeatable deployments across environments, change tracking, and appropriate approval gates. You&apos;ll work directly with client architects and analysts, so you should be comfortable explaining tradeoffs as well as implementing them. More important than any single tool is the demonstrated desire and ability to tackle new and unfamiliar technical challenges. This position is a full-time, salaried role with benefits. There is no relocation required. Candidates are required to have a suitable home office to operate from. Minimum Qualifications <ul><li>3+ years of professional experience in data engineering or related roles</li><li>2+ years of hands-on Snowflake experience in a production environment, including:</li><ul><li>Strong Snowflake development experience, including query profile analysis, query optimization, and debugging</li><li>Virtual warehouse sizing, scaling policies, and credit/cost management</li><li>Data loading and ingestion patterns (COPY INTO, Snowpipe, external stages, external tables)</li><li>Table design and performance features (clustering keys, micro-partition behavior, materialized views, Time Travel, zero-copy cloning)</li><li>Snowflake security model: roles, grants, and RBAC hierarchy design</li></ul><li>Proficiency in Python (or another programming/scripting language such as Scala or Java)</li><li>Experience building transformation and orchestration logic in Snowflake using one or more of the following:</li><ul><li>dbt</li><li>Snowflake Streams and Tasks, or Dynamic Tables</li><li>Snowpark (Python)</li><li>Apache Airflow, Azure Data Factory, or another orchestration framework</li></ul><li>Solid grounding in ETL/ELT principles, dimensional and data-vault-style modeling, and data warehousing concepts</li><li>Experience with at least one major cloud provider (AWS, Azure, or GCP), including storage and networking basics as they relate to Snowflake integrations </li></ul>Desired Qualifications <ul><li>Healthcare industry knowledge and experience (Epic Clarity/Caboodle, HL7, FHIR, claims data)</li><li>Experience handling PHI in Snowflake: dynamic data masking, row access policies, tagging, and HIPAA-aligned account configuration</li><li>SnowPro certification (SnowPro Core, or SnowPro Advanced: Data Engineer)</li><li>Experience with CI/CD pipelines, Git, and DevOps workflows, including schema migration tooling (schemachange, Flyway, Liquibase, or dbt-native deployment)</li><li>Familiarity with Infrastructure-as-Code, particularly the Snowflake Terraform provider</li><li>Experience with Snowflake Secure Data Sharing, the Snowflake Marketplace, or reader accounts</li><li>Familiarity with Snowflake Cortex AI functions, Streamlit in Snowflake, or Iceberg tables</li><li>Experience with real-time/streaming ingestion into Snowflake (Kafka connector, Snowpipe Streaming, Kinesis, Pub/Sub)</li><li>Experience migrating workloads to Snowflake from legacy platforms (SQL Server, Teradata, Oracle, Netezza, Redshift)</li><li>Exposure to other cloud data platforms (Databricks, BigQuery, Redshift) and the ability to speak to how they compare </li></ul>Success Criteria Successful team members at Prominence display the following: <ul><li>High degree of professionalism; treats others with respect, keeps commitments, builds trust within a team, works with integrity, and upholds organizational values</li><li>Highly organized; able to manage multi-faceted work streams</li><li>Self-motivated; able to manage schedules, meet deadlines, and monitor your personal work product</li><li>Highly adaptable; able to acclimate quickly to new project assignments and work environments</li><li>Creative; not paralyzed by problems and able to work collaboratively to find novel solutions</li><li>Clear communication skills; ability to convey messaging in clear and concise written and verbal communications</li><li>Ability to anticipate issues before they arise and escalate effectively</li><li>Passion to mentor and guide others </li></ul>Benefits Prominence is dedicated to hiring the best and brightest minds in healthcare, and maintaining a culture that rewards our employees for following their passion. You&apos;ll join a team of highly motivated and passionate people who do great work for the nation&apos;s leading healthcare organizations, including 7 of the top 10 academic medical centers. In the past 5 years, we&apos;ve received 20+ Best Places to Work Awards and are highly rated in KLAS, reflecting the quality work from our team of A-players who move mountains daily for our customers. We strive to create the best working environment with the best team, so that we can continue to drive innovation in healthcare faster. <ul><li>Our 2 nodes of business: Analytics and Epic Services - offer you a diversified career path, stability in a rapidly changing market, and opportunities for growth within Prominence</li><li>Prominence is a fully remote company, with no requirements on where you live or work within the US and flexibility to manage your schedule</li><li>We offer 15 days PTO and up to 16 paid Holidays each year for full-time staff</li><li>We offer a diverse healthcare offering, including low and high deductible health plans, HSAs, LTD/STD Insurance, Health and Dependent Savings Accounts, Vision, Dental, 401k offering, an annual Professional Development fund, and Signing Bonuses</li></ul>

Data Engineer (Snowflake)

About The Company Versant (Nasdaq: VSNT) is a pioneering media and entertainment company renowned for its influential brands that shape culture, inform audiences, and foster lasting connections. Operating across four core markets&#x2014;political news and opinion, business news and personal finance, golf, and sports and genre entertainment&#x2014;Versant delivers high-quality content through a diverse portfolio of iconic brands including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and its sports division USA Sports. The company also manages a suite of digital assets such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass, providing comprehensive entertainment and information services to a global audience. With a focus on innovation and excellence, Versant remains committed to delivering impactful content and building strong community engagement in the evolving media landscape. About The Role We are seeking a highly skilled Data Engineer II to join our dynamic team. In this role, you will be instrumental in building, maintaining, and enhancing our data platforms and pipelines that underpin GolfNow and the broader Sports Next ecosystem. Your expertise will support the development of reliable, scalable data solutions that facilitate analytics, reporting, and product innovation. Operating at the intersection of sports and technology, you will collaborate closely with data engineers, software engineers, product teams, and analytics partners to translate complex business and technical requirements into effective data architectures. You will take ownership of assigned data engineering initiatives, contribute to technical design discussions, and continuously strive to improve the quality, performance, and reliability of our data ecosystem. This position offers an exciting opportunity to work remotely while making a significant impact on data-driven decision-making within a leading entertainment organization. Qualifications <ul><li>Experience in data engineering or a related technical discipline with hands-on development of data pipelines in cloud environments</li><li>Strong proficiency in SQL and Python, including ETL/ELT workflows and handling structured and semi-structured data</li><li>Knowledge of data modeling, data warehousing, and modern data engineering practices</li><li>Experience with AWS technologies such as Glue, Lambda, and Step Functions or similar cloud data services</li><li>Familiarity with orchestration tools like Airflow and infrastructure-as-code tools such as Terraform</li><li>Ability to troubleshoot data and pipeline issues, identify root causes, and implement reliable solutions</li><li>Excellent collaboration and communication skills, capable of working effectively with cross-functional teams</li><li>Ability to independently manage tasks while collaborating on complex technical decisions </li></ul>Responsibilities <ul><li>Design, develop, test, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies</li><li>Enhance data models and warehouse structures to support analytics, reporting, and business intelligence needs</li><li>Monitor data workflows, troubleshoot issues, and implement solutions to improve data quality, reliability, and performance</li><li>Collaborate with engineering, product, and analytics teams to understand requirements and translate them into technical solutions</li><li>Contribute to data quality, governance, testing, documentation, and operational standards throughout the data lifecycle</li><li>Participate in technical design discussions and evaluate tools, frameworks, and engineering best practices to optimize data solutions </li></ul>Benefits <ul><li>Competitive compensation package</li><li>Comprehensive health, dental, and vision insurance plans</li><li>Retirement savings options and financial planning resources</li><li>Paid time off and holiday leave</li><li>Fully remote work environment with opportunities for in-person collaboration (~10%)</li><li>Professional development and continuous learning opportunities</li><li>Inclusive and collaborative company culture </li></ul>Equal Opportunity Versant is an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, religion, gender, gender identity or expression, age, national origin, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the military or any other protected status under applicable law. We promote a workplace where all employees are valued and empowered to contribute to our success. Applicants requiring accommodations during the recruitment process are encouraged to contact us.

Data Engineer II

Role overview The Data Engineer builds the pipelines and data platforms that support analytics, reporting, AI development, and operational decisions. Working across ingestion, transformation, storage, modeling, and delivery, this position turns complex business needs into reliable production systems, including batch and real-time pipelines, OLTP and OLAP stores, semantic models, and BI-ready datasets. The work combines cloud engineering, automation, observability, and infrastructure-as-code in a regulated environment. Building and Operating the Data Foundation <ul><li>Design, develop, and maintain data pipelines connecting internal systems, third-party platforms, files, APIs, event streams, and databases. Build scalable ETL and ELT workflows for batch and real-time processing.</li><li>Make pipelines testable, observable, reliable, and extensible. Develop reusable integration patterns for increasing data volumes, new sources, and consumers across analytics, applications, and AI.</li><li>Design and manage architectures for transactional, analytical, and reporting workloads. Optimize data models, warehouse schemas, and curated datasets for analytics and business intelligence.</li><li>Help design and operate warehouses, lakehouses, streaming systems, and orchestration frameworks, with practical approaches to storage, partitioning, performance, retention, and lifecycle management.</li><li>Deploy and operate data pipelines and stores on AWS, GCP, or Azure. Use infrastructure-as-code, CI/CD, and automation to improve deployment consistency, speed, and reliability.</li><li>Monitor production systems through logging, alerting, and observability tools; identify and resolve issues while supporting secure, resilient, cost-conscious cloud infrastructure.</li><li>Implement data-quality checks, validation, reconciliation, and monitoring. Maintain lineage, documentation, metadata, schema-evolution standards, and operational runbooks.</li><li>Improve data accessibility, consistency, and usability with appropriate controls. Support security, privacy, auditability, and regulatory compliance.</li><li>Partner with Product, Engineering, AI, Analytics, business stakeholders, and domain subject matter experts to understand workflows and constraints and translate requirements into maintainable data solutions.</li><li>Support analysts, researchers, product teams, and operational users. Explain data availability, quality, tradeoffs, and delivery timelines to technical and nontechnical stakeholders.</li><li>Improve performance, reliability, scalability, and developer productivity; simplify architecture, reduce operational toil, and extend the value of shared data platforms.</li><li>Move iteratively from problem definition to implementation and improvement, strengthening engineering quality through design, testing, documentation, and operational discipline.</li></ul> Required Technical Background <ul><li>2&#x2013;4+ years building and operating production-grade data pipelines and systems.</li><li>Strong experience with standard ETL/ELT, orchestration, warehousing, streaming, and BI tools and platforms.</li><li>Experience with OLTP and OLAP systems and an understanding of transactional versus analytical workload tradeoffs.</li><li>Experience integrating databases, APIs, files, message queues, SaaS platforms, and event streams through flexible pipelines supporting batch and real-time processing.</li><li>Experience deploying and operating cloud data infrastructure on AWS, GCP, or Azure.</li><li>Strong SQL capabilities, including data modeling, transformation frameworks, and performance optimization.</li><li>Experience building LLM-based AI capabilities, including orchestration, evaluation, and data integration patterns.</li><li>Experience with data-engineering programming languages such as Python, Java, Scala, or Go.</li><li>Comfort with CI/CD, infrastructure-as-code, observability, and production operations.</li><li>Sound judgment when requirements are ambiguous or changing, balancing speed, reliability, and flexibility; clear communication with technical and nontechnical colleagues.</li></ul> Preferred Experience <ul><li>Orchestration and transformation platforms such as Airflow, Dagster, or dbt.</li><li>Cloud warehouses or lakehouses such as Snowflake, BigQuery, Redshift, or Databricks.</li><li>Streaming and real-time platforms such as Kafka, Kinesis, or SQS.</li><li>Curated datasets, semantic layers, and self-service analytics using Looker, Power BI, Tableau, or similar reporting tools.</li><li>Fintech, mortgage, lending, payments, insurance, or other regulated-domain experience.</li><li>Data platforms supporting AI, machine learning, or decisioning workflows.</li><li>Improving data quality, reliability, cost efficiency, and scalability as platforms grow.</li></ul> Prior fintech or finance experience is not required. Candidates with strong data-engineering skills, technical judgment, and systems thinking are encouraged to apply even if their background does not match every listed qualification. Work and Compensation This is a regular full-time, fully remote position. The posting lists New York, New York, United States, and Toronto, Canada. The salary range is USD $140,000&#x2013;$190,000, plus an annual bonus. Compensation may vary with experience, location, and other job-related factors.Benefits include medical coverage beginning on the first day and a company-matched 401(k).Employment decisions are based on merit, competence, and qualifications, without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other status protected by applicable federal, state, or local law.

Data Engineer - Remote

Job Title: Data Engineer Who we are: -At CitiusTech, we constantly strive to solve the industry&apos;s greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world&apos;s leading Healthcare and life sciences organizations and our partners.Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. Our vision: -To inspire new possibilities for the health ecosystem with technology and human ingenuity. Responsibilities: -Analytical Data Modelling:<ul><li>Expert in data modelling.</li><li>Must be able to transform raw, fragmented data from MongoDB and PostgreSQL into clean, performant tables optimized for end user reporting</li></ul>Primary Stack:<ul><li>Expert-level SQL and Python; deep experience with Snowflake, dbt, Mongo, Postgres and Snowflake</li></ul>Data Environments:<ul><li>Proven ability to integrate and model data from both MongoDB and PostgreSQL sources.</li></ul>Governance &amp; Security:<ul><li>Proficiency in handling sensitive data under GDPR/SOC2 compliance, with a strong understanding of MDM and data lineage.</li></ul>AI &amp; Innovation:<ul><li>Ability to incorporate AI/LLM tools into the development lifecycle to drive efficiency and optimize system performance</li></ul>Experience: -<ul><li>10+ Years</li></ul>Location: -<ul><li>Remote</li></ul>Educational Qualifications: -<ul><li>Engineering Degree &#x2013; BE/ME/BTech/MTech/BSc/MSc.</li><li>Technical certification in multiple technologies is desirable.</li></ul> Life at CitiusTechWe focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance.Rated by our employees as the &#x2018;Great Place to Work for&#x2019; according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.Our EVPBe You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.Join CitiusTech. Be You. Be Awesome.

We are seeking a Data Engineer with experience in projects emphasizing complex data solutions. This person will be responsible for supporting the continued performance, reliability, and availability of two critical applications, which are essential to our clients supply chain and planning operations. This Data Engineer will help support Databricks activities that minimize disruptions, maintain stable daily operations, and deliver approved fixes or enhancements as required. The Data Engineer will assist with requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.<ul><li>Work with the various technology teams and operational stakeholders to support and enhance two applications</li><li>Lead the Queue Management System to ensure timely processing, issue resolution, and continuity of business operations within the applications.</li><li>Design and develop database objects, tables, stored procedures, views, etc.</li><li>Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases</li><li>Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake</li><li>Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)</li><li>Maintain comprehensive project documentation</li></ul>&#xB7; Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.&#xB7; Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.<ul><li>Manage multiple projects, responsibilities and competing priorities.</li></ul>Experience Needed:<ul><li>Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, DBT</li><li>Database platforms such as: Oracle, SQL Server, MySQL</li><li>Big data concepts and technologies such as Synapse &amp; Databricks</li><li>AWS and Azure cloud computing</li></ul>

Data Engineer - Databricks - REMOTE

Location: United StatesWorkplace: RemoteEmployment Type: Full-time, Permanent, ExemptExperience: 5+ years of data engineering experience building and operating production data pipelines and platforms Core Areas: Data Platform Engineering, Spark, Kafka, Iceberg, Airflow/MWAA, Data Lake Architecture, Data Governance, Data Quality Compensation: $186,500&#x2013;$255,000 per year plus bonus eligibility and equity About the Role This opportunity is for a Staff Data Engineer to take ownership of major Data Platform Engineering initiatives spanning the data lake, production pipelines, event instrumentation, data quality, data governance, and cloud data infrastructure. The role designs and operates scalable batch, streaming, and real-time data systems while helping evolve ingestion, processing, storage, and serving patterns across the platform. The position works extensively with Spark, Kafka, Iceberg, Airflow/MWAA, Druid, and EMR on EKS, with a strong focus on reliability, observability, governance, and privacy. Responsibilities also include GDPR and CCPA data controls, AI-assisted development workflows, production troubleshooting, technical leadership, and mentoring engineers. What You&apos;ll Do <ul><li>Design data solutions for batch, streaming, and real-time workloads.</li><li>Design and build reliable production data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.</li><li>Advance data lake and data platform architecture across ingestion, processing, storage, and serving patterns.</li><li>Build, maintain, and scale cloud data infrastructure using Kafka, Airflow, Druid, and EMR on EKS with reliability and observability as core design requirements.</li><li>Implement and continuously improve data quality, observability, reliability, and governance across production data pipelines and systems.</li><li>Define and improve event instrumentation and governance standards, including event schemas, validation, and schema evolution.</li><li>Build centralized platform capabilities for PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements.</li><li>Develop agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools so agents can safely generate, review, and operate on data platform code.</li><li>Contribute hands-on to complex technical initiatives and troubleshoot production data platform issues.</li><li>Mentor engineers and collaborate with Analytics Engineering and other technical teams on complex data and platform challenges.</li><li>Embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows.</li></ul> Qualifications Required Experience <ul><li>5+ years of data engineering experience building and operating production data pipelines and data platforms.</li><li>Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines.</li><li>Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and change data capture (CDC).</li><li>Experience implementing data quality, observability, and reliability practices across production data systems.</li><li>Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code.</li><li>Demonstrated experience leading complex data engineering initiatives end to end, from technical design and decomposition through implementation and production.</li></ul> Required Skills <ul><li>Strong programming and SQL skills with the ability to build reliable, maintainable production data systems.</li><li>Ability to navigate ambiguous technical problems, evaluate architectural tradeoffs, and make pragmatic engineering decisions.</li><li>Ability to design beyond individual pipelines and consider the full data ecosystem from upstream data producers through downstream consumers.</li><li>Experience with data governance and privacy practices, including PII management, retention, deletion, data residency, GDPR, or CCPA.</li><li>Experience with event instrumentation and governance, including event schemas, validation, and schema evolution.</li><li>Ability to collaborate with engineers on complex technical problems and establish practical engineering best practices.</li><li>Experience applying AI and emerging technologies in development workflows and helping technical teams adopt new tools through shared practices and learnings.</li></ul> Education <ul><li>BA/BS degree or equivalent professional experience.</li></ul> Benefits <ul><li>Equity through restricted stock units (RSUs).</li><li>Comprehensive medical, dental, and vision coverage for full-time employees and their dependents, with most premiums covered.</li><li>12 weeks of paid parental leave for all parents, plus 6 or more additional weeks of paid leave for birthing parents.</li><li>Inclusive support for family planning, menopause, and midlife transitions.</li><li>Flexible vacation, paid holidays, and a sabbatical program.</li><li>Mental health resources, therapy, and coaching.</li><li>401(k) with a 100% employer match of up to $6,000 per year in the United States.</li><li>Monthly localized stipends supporting work and wellness expenses, including Wi-Fi and fitness.</li><li>Eligibility for an annual company bonus program for full-time, permanent, non-commission employees.</li></ul>

Data Engineer (Remote)

Who we are... Latitude is a growing Service-Disabled Veteran Owned (SDVOSB) Company within the Federal Sector. We have experience in working with various federal clients across multiple different agencies. We believe in adopting and growing a remote work-from-home culture wherever possible to ensure a healthy work-to-life balance. We believe in automating the mundane and investing in our employees helping them grow their careers over time. We strive for innovation and want to develop solutions that we can take pride in and help break through some of the barriers that exist in technology and the government sectors today. Description... We are hiring a Data Engineer to build and run the data pipelines behind analytics and machine learning work on Google Cloud Platform for a federal health customer. You will work with data architects, data scientists, ML engineers, and application teams to ingest, transform, and deliver curated datasets in BigQuery. The role sits on a cloud operations and migration team and includes technical leadership on data engineering standards and practices. This position is fully remote in the United States. What You Will Do... <ul><li>Build, maintain, and optimize batch and streaming data pipelines on Google Cloud that support analytics and machine learning</li><li>Ingest data from APIs, databases, SaaS systems, streaming feeds, and files, then transform it and deliver curated datasets in BigQuery</li><li>Build data quality rules, schema validation, and automated tests into pipelines, and monitor pipeline health with Cloud Monitoring and Cloud Logging</li><li>Apply governance and security standards, including IAM, encryption, data masking, and auditing, and maintain pipeline infrastructure with Terraform and CI/CD</li><li>Provide technical direction on data engineering standards, lead code reviews, and document datasets, transformations, and operating procedures </li></ul>Minimum Qualifications... <ul><li>Bachelor&apos;s degree in computer science, software engineering, information systems, data engineering, or a related technical field</li><li>3+ years of hands-on data engineering experience, including building production data pipelines on a cloud platform</li><li>3+ years leading technical teams, including setting technical standards and processes for cloud and on-premises environments and guiding technology decisions</li><li>Hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, and Pub/Sub</li><li>Strong SQL and Python, with experience in distributed data processing and data modeling</li><li>Experience transforming large datasets and delivering ML-ready datasets for model training</li><li>Ability to obtain and maintain a federal background investigation (Public Trust) </li></ul>Preferred Qualifications... <ul><li>Master&apos;s degree in a technical discipline</li><li>Experience supporting federal government programs, especially federal health</li><li>Knowledge of regulated environments: FedRAMP, HIPAA, NIST 800-53, CIS benchmarks</li><li>Experience with Vertex AI or other ML platforms, and with feature store concepts</li><li>Experience with Cloud Composer (Airflow), dbt, Dataplex, and Datastream for change data capture</li><li>Experience with Apache Kafka or other streaming technologies, and with Looker or Looker Studio</li><li>Security certification such as CISSP or CCSP </li></ul>Clearance... <ul><li>Applicants selected will be subject to a Security Investigation and May need to Meet Requirements for Access to Protected and/or Classified Information </li></ul>Citizenship... <ul><li>Applicants need to be a US Citizen to be considered for the position and have physically resided in the United States for a minimum of 3 years due to background investigation requirements </li></ul>Employee Benefits... <ul><li>Medical, Vision, Dental</li><li>Paid Vacation &amp; Sick Time</li><li>Paid Federal Holidays</li><li>401k Retirement Plan with 100% Company Matching</li><li>Employer Paid Life Insurance</li><li>Continued Education Assistance</li><li>Employee Assistance Program (EAP)</li><li>Commuter Benefits Program</li><li>Health Savings Account (HSA) </li></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. The posted range is base annual salary, placement within the range depends on qualifications, relevant experience, and contract requirements.

Job Description: Lead GCP Data Engineer/Looker Hire: (Full-Time)Location: Remote (USA) Job SummaryWe are seeking a highly skilled and motivated Lead GCP Data Engineer to join our team on a full-time basis. In this role, you will lead the design, development, and optimization of scalable data platforms, robust data pipelines, and advanced analytical solutions on the Google Cloud Platform (GCP). You will collaborate closely with business stakeholders, data analysts, and engineering teams to translate analytical requirements into impactful, scalable data solutions. Key Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).</li><li>Build and optimize enterprise data solutions using BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, and Pub/Sub.</li><li>Develop and maintain semantic data models using LookML in Looker.</li><li>Create reusable dashboards, reports, and analytics solutions to support critical business decision-making.</li><li>Lead data architecture discussions and provide technical guidance and best practices to engineering teams.</li><li>Implement data governance, data quality standards, security policies, and performance optimization best practices.</li><li>Collaborate directly with business stakeholders to translate complex analytical requirements into scalable data architectures.</li><li>Mentor junior engineers, foster engineering excellence, and conduct rigorous code reviews.</li><li>Troubleshoot and resolve data pipeline, reporting, and performance bottlenecks.</li><li>Work closely with DevOps and cloud infrastructure teams to implement seamless CI/CD pipelines and infrastructure as code practices.</li></ul> Required Skills &amp; Expertise1. GCP Data EngineeringStrong, hands-on enterprise experience with:<ul><li>BigQuery</li><li>Cloud Composer (Airflow)</li><li>Dataflow</li><li>Dataproc</li><li>Cloud Storage</li><li>Pub/Sub</li><li>Cloud Functions</li><li>IAM &amp; Security best practices</li></ul>2. Looker / LookML<ul><li>Advanced experience in Looker development and administration.</li><li>Expertise in LookML modeling, explores, views, dimensions, measures, and derived tables.</li><li>Experience designing, scaling, and maintaining enterprise semantic layers.</li><li>Strong understanding of dashboard development, caching strategies, and performance tuning.</li></ul>3. Data Engineering Fundamentals<ul><li>Advanced SQL writing and complex query optimization skills.</li><li>Extensive experience with ETL/ELT frameworks.</li><li>Deep data warehousing and dimensional modeling (Star/Snowflake schemas) expertise.</li><li>Hands-on experience with both batch and real-time data processing workflows.</li></ul>4. Programming Languages<ul><li>Python</li><li>SQL</li><li>Shell Scripting</li></ul>Preferred Skills<ul><li>Experience with dbt (data build tool).</li><li>Working knowledge of Terraform and Infrastructure as Code (IaC).</li><li>Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.</li><li>Exposure to machine learning workloads and MLOps on GCP.</li><li>Familiarity with Agile/Scrum delivery methodologies.</li></ul>Qualifications<ul><li>Employment Type: Full-Time</li><li>Bachelor&#x2019;s or Master&#x2019;s degree in Computer Science, Information Technology, or a related technical field.</li><li>Google Cloud Certifications:</li><li>Professional Data Engineer (Required)</li><li>Professional Cloud Architect (Preferred)</li></ul>Nice-to-Have<ul><li>Domain experience in Retail, Financial Services, Healthcare, or E-commerce.</li><li>Proven migration experience moving legacy on-premise systems or other cloud platforms (AWS/Azure) to GCP.</li><li>Strong stakeholder management and client-facing communication skills.</li></ul>

Lead GCP Data Engineer

<div class="content-intro"><div>
About <a href="https://himalayas.app/companies/eve">Eve</a> <a href="https://himalayas.app/companies/eve">Eve</a> is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and <a href="https://himalayas.app/companies/eve">Eve</a> is how they get there. But what makes <a href="https://himalayas.app/companies/eve">Eve</a> different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong.
Product-market fit: <a href="https://himalayas.app/companies/eve">Eve</a> is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building <a href="https://himalayas.app/companies/eve">Eve</a> from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter.
</div></div><h3>The Role</h3><a href="https://himalayas.app/companies/eve">Eve</a> is doubling revenue quarter over quarter, and the platform is being built to keep pace. A medallion architecture is in place on a Terraform-managed Snowflake footprint. Most of what goes on top is still ahead: ingestion and orchestration built for the volume coming, reliability practice, the access and governance model, and the standards every contributor works inside.The data spans product usage, case and firm data, and every go-to-market system <a href="https://himalayas.app/companies/eve">Eve</a> runs on. Analytics engineers and business analysts build models and reporting on top of it, AI agents query it directly, and leadership makes calls on it weekly. When a pipeline fails quietly, all three inherit the mistake.You'll own the pipelines carrying all of that, end to end, from an ambiguous ask through to production. Moving nightly rebuilds onto incremental patterns. Deciding how a new source gets ingested and what happens when it changes shape. Building the alerting that catches a broken model before anyone downstream does, and being the one who picks it up when it breaks. You'll have real say in how the platform gets built. You'll work on our central team and report to the Head of Data Engineering, who reports directly to the CEO. Data is a first-class function at <a href="https://himalayas.app/companies/eve">Eve</a> and the fuel to drive our future growth.<h3>What You'll Do</h3><h3>Build and run the platform</h3><ul>
<li>Own ingestion through Fivetran, third-party connectors, and custom extraction where no connector exists</li>
<li>Own orchestration across dbt platform and GitHub Actions, own materialization strategy and model performance, move critical models off nightly full rebuilds onto incremental patterns, and cut latency where decisions are waiting on stale data</li>
<li>Build source-schema change detection, so an upstream field change surfaces as an alert before it reaches a report</li>
<li>Stand up observability: freshness SLAs on critical tables, alerting on failure and drift, and an incident path with clear ownership</li>
<li>Be a first responder when pipelines break, and drive the fix upstream so the same failure doesn't recur</li>
<li>Manage pipeline compute cost, and make the tradeoffs between freshness and spend explicit rather than accidental</li>
<li>Share Snowflake administration: implementing the role-based access model, security and network policies, data masking and PII controls, and storage organization</li>
<li>Extend the medallion architecture and the Terraform-managed footprint, including full separation of development and production</li>
<li>Contribute to the foundational modeling layer the Analytics Engineers build on: source-to-staging patterns, conformed dimensions, shared entities, and SCD patterns that make history reliable</li>
</ul><h3>Raise the bar</h3><ul>
<li>Build and maintain the development environments and CI that let analysts contribute models safely, and review their contributions so more of the company can build on the foundation</li>
<li>Build the tooling and setup that gets a new engineer or analyst productive in days, not weeks</li>
<li>Administer the data tooling stack: access, integrations, and the connective work between systems</li>
<li>Use AI-assisted development as part of how you work: Claude Code skills, agents, and evals, held to the same review bar as anything else</li>
<li>Document as you build. If it isn't written down, it isn't done</li>
</ul><h3>What We're Looking For</h3><ul>
<li>5+ years in data engineering, owning production systems other people depended on</li>
<li>Strong Python and SQL, with production experience across ingestion (Fivetran or similar), orchestration (dbt platform, GitHub Actions, or Airflow), and cloud infrastructure</li>
<li>Solid Snowflake: access control, warehouse sizing, query performance, and cost management</li>
<li>Practical dbt: incremental models, testing, macros, and a git-based workflow with CI. Experience building SCD tables from multiple sources</li>
<li>Comfort in a Terraform-managed environment. Infrastructure changes go through code review here, not the Snowflake console</li>
<li>You've built reliability practice where none existed: alerting, freshness SLAs, incident response, schema change detection</li>
<li>Proficiency with AI-assisted development such as Claude Code, including agentic pipeline design and skill-based workflows, and comfort integrating tools via MCP servers</li>
<li>Able to tell a stakeholder what broke, what it affected, and when it'll be fixed, without the jargon</li>
<li>Comfort building where the playbook doesn't exist yet</li>
</ul><h3>Nice to haves:</h3><ul>
<li>Experience in a regulated or high-sensitivity data environment (legal, healthcare, financial services)</li>
<li>Experience with streaming or near-real-time ingestion, and knowing when it isn't worth it</li>
<li>Exposure to Iceberg, Parquet, or unstructured data at scale</li>
<li>B2B SaaS, especially selling to small and mid-sized businesses or professional services firms</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description"><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at <a href="https://himalayas.app/companies/eve">Eve</a> and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
<div class="title">US Salary Range</div>
<div class="pay-range">$185,000—$210,000 USD</div>
</div></div><div class="content-conclusion">
<div class="section page-centered">
<h3>Benefits</h3>
💰 Competitive Salary &amp; Equity
<h3>💹 401(k) Program with Employer Matching</h3>
⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚗 Commuter Benefits* 🧑‍💻 Autonomous Work Environment 🖥️ Workplace Setup Reimbursement 🏠 Telecomm Stipend 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings 🥪 In office Perks*
*In office employees only
</div>
<div class="section page-centered">
<a href="https://himalayas.app/companies/eve">Eve</a> Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.
We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

As a Senior Data Engineer, you will take a lead technical role on our core data platform: designing schemas, building and maintaining ETL/ELT pipelines, and shaping the data models that support our products, analytics, and reporting. You will work closely with the Lead Software Engineer to shape technical direction, partnering with teams across the Buyer&apos;s Edge Platform product ecosystem on governance, security, and long-term architecture, establishing and holding the team accountable to data standards. Who are we?A Minnesota-based company, RealTime Solutions&#xAE; thrives on proactively addressing foodservice trends, pitfalls, and opportunities, always staying one step ahead. By seamlessly merging data intelligence with marketing finesse, we create campaigns and tactics that are not just reactive but rooted in insightful strategy. As a Buyers Edge Platform brand, our deep foodservice expertise and data-rich analytics set us apart, allowing us not only to identify growth opportunities for Fortune 500 food manufacturers, but also craft bold strategies and tactics that redefine their success in foodservice.This role remotely based. We are unable to offer work sponsorship for this role. Your impact:<ul><li>Platform Ownership: Own the primary relational database platform, including schema design, performance tuning, stored procedures, and lifecycle management for Realtime Solution SQL Server databases and technologies.</li><li>Pipeline Development: Architect, build, and maintain ETL/ELT data pipelines that serve as the backbone of the organization&apos;s data infrastructure.</li><li>Data Modeling: Design data models and schemas that serve multiple application and reporting layers.</li><li>Data Contracts: Define and enforce data contracts between source systems and downstream consumers.</li><li>Security &amp; Compliance: Implement solutions that follow data governance and security compliance best practices, including PII handling, role-based access controls, audit logging, and encryption at rest/in transit.</li><li>Disaster Recovery: Own or contribute to disaster recovery, backup strategy, and restore procedures for the data platform.</li><li>Release Management: Manage schema change deployments across environments (dev to staging to prod), including migration scripts and release coordination.</li><li>Documentation: Maintain comprehensive documentation, including data dictionaries, pipeline runbooks, architecture diagrams, and data flow maps.</li><li>Continuous Improvement: Evaluate and recommend tools, frameworks, and technologies to improve the data platform.</li><li>Technical Mentorship: Mentor and guide junior engineers and analysts on data engineering best practices, SQL proficiency, and pipeline design.</li><li>Growth &amp; Development: Foster a growth environment by supporting skill development through code reviews, pair programming, and knowledge sharing.</li><li>Engineering Standards: Champion engineering standards and help elevate the team&apos;s overall technical capability.</li></ul> About you:<ul><li>SQL Mastery: Expert-level proficiency in relational databases, including complex stored procedures, query optimization, indexing strategies, and execution plan analysis.</li><li>Pipeline Architecture: Experience designing end-to-end data flows, orchestration, scheduling, error handling, and recovery patterns.</li><li>Data Modeling: Strong experience in data modeling, documenting data lineage, and metadata management.</li><li>Scripting: Proficiency in a scripting language (Python, JavaScript, or similar) for pipeline tooling and automation.</li><li>Data Quality: Ability to implement validation, reconciliation, and monitoring at pipeline boundaries.</li><li>Communication: Strong communication skills with the ability to translate data issues into business impact and partner with analysts and product teams.</li><li>Version Control: Git-based workflows, PR-based development, versioned schema migrations.</li><li>Self-Direction: Ability to work independently with minimal oversight, driving projects from requirements through delivery.</li><li>Experience: 5+ years of data engineering experience, including relational databases, APIs, batch/streaming patterns, and cloud data platforms.</li><li>Data Modeling: 3+ years of experience in data modeling, documenting data lineage and metadata.</li><li>Stored Procedures: Demonstrated experience building and maintaining complex stored procedures in a production environment.</li><li>Orchestration: 3+ years of experience with pipeline orchestration or scheduling tools (SSIS, Airflow, Databricks, or similar).</li><li>Education: Bachelor&apos;s degree in Computer Science, Information Systems, or a related field, or 5+ years equivalent software engineering experience.</li><li>AI-Enabled Data Patterns: Knowledge of embeddings, vector databases, document chunking, semantic retrieval, and knowledge base creation.</li><li>Enterprise Data Platforms (Snowflake, Redshift, Databricks): Pipeline development, ontology building, and maintenance.</li></ul> Don&#x2019;t meet every requirement mentioned here? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Buyers Edge Platform and our subsidiary brands, we are dedicated to building a diverse, inclusive and authentic workplace. So, if you&#x2019;re excited about this role but your past experience doesn&#x2019;t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this position or others with us! What&apos;s in this for you? <ul><li>Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more&#x2014;plus a 401(k) with company match.</li><li>Grow with us. Enjoy strong training, development, and competitive pay.</li><li>Work-life balance. Our flexible PTO policy lets you take time when you need it&#x2014;no accrual required</li></ul> #LI-Remote

# Associate Data Engineer ## About the Role Crum &amp; Forster is seeking an **Associate Data Engineer** to support the S&amp;S Data Science team&#x2019;s **External Data** function. This role focuses on building and maintaining data pipelines that bring third-party data into underwriting, claims, and business intelligence (BI) workflows. Working alongside an established Data Engineer, you will create scalable ETL/ELT jobs, integrate external data sources through REST APIs, and help ensure data quality for analytics and data science models. This is a **remote role with a U.S.-wide scope**. ## Key Responsibilities * Build and maintain data pipelines for third-party and external data.* Develop scalable ETL/ELT jobs.* Integrate external data sources using REST APIs.* Bring third-party data into underwriting workflows.* Support data integration for claims workflows.* Support business intelligence (BI) workflows with external data.* Work alongside an established Data Engineer.* Ensure data quality for analytics and data science models.* Support the External Data function within the S&amp;S Data Science team.* Contribute to scalable data engineering solutions for external data integration. ## Required Qualifications * Experience with data engineering and data pipeline development.* Experience building or maintaining ETL/ELT jobs.* Experience integrating external data sources through REST APIs.* Understanding of data quality requirements for analytics and data science models.* Ability to work collaboratively with an established Data Engineer.* Ability to support data workflows involving underwriting, claims, and/or BI. ## Preferred Qualifications * The original job description does not specify additional preferred qualifications. ## Skills &amp; Competencies * Data engineering* Data pipelines* ETL/ELT* REST APIs* External data integration* Third-party data* Data quality* Analytics data workflows* Data science workflows* Business intelligence (BI)* Underwriting data* Claims data* Scalable data solutions* Collaboration ## Education &amp; Experience **Education** * No specific education requirement is stated in the original job description. **Experience** * Experience with data engineering, ETL/ELT, data pipelines, and REST API integrations is required based on the role description.* No specific years of experience are stated. ## Work Arrangement &amp; Schedule * **Work Arrangement:** Remote* **Location:** United States &#x2014; U.S.-wide scope* **Employment Type:** Not specified in the original job description.* **Weekly Hours:** Not specified in the original job description.* **Schedule:** Not specified in the original job description. ## Compensation &amp; Benefits * Compensation is not specified in the original job description.* Benefits are not specified in the original job description. ## Compliance / Additional Information * **Company:** Crum &amp; Forster* **Team:** S&amp;S Data Science &#x2014; External Data function.* The role supports data workflows across underwriting, claims, business intelligence, analytics, and data science.

Data Engineer — Remote Opportunity

About Our Client:Government Employees Health Association, Inc. (G.E.H.A) is a nonprofit member association serving millions of federal employees, retirees, military retirees, and their families since 1937. It provides one of the largest health and dental benefit provider networks available to federal employees in the United States. The organization focuses on empowering health and wellness by delivering accessible care and benefits. About the Opportunity:The ASSOCIATE CLOUD DATA ENGINEER role supports the development and maintenance of scalable data pipelines and cloud-based data solutions. This position works collaboratively across business units and technical teams to ensure seamless data flow and enable actionable insights that align with enterprise data strategies. The role improves the performance and efficiency of data and analytics offerings within a cloud-native environment. Responsibilities:<ul><li>Support the cloud data framework aligned with enterprise data strategy and policies</li><li>Design and build scalable, efficient ETL/ELT data pipelines on Azure and Snowflake</li><li>Implement data solutions using Azure Data Factory, Azure Data Lake Storage, and Snowflake</li><li>Collaborate with business analysts, data architects, scientists, and project managers</li><li>Ensure data privacy, security, and compliance with governance standards</li><li>Automate monitoring and logging for data workflows to maintain data integrity</li><li>Troubleshoot data pipeline and platform performance issues</li><li>Adhere to change management processes for all deliverables</li><li>Participate in Agile ceremonies including scrum, backlog grooming, and planning</li><li>Perform other duties as assigned</li></ul> Requirements:<ul><li>1-2 years of relevant technical or business experience; healthcare or analytics experience preferred</li><li>Bachelor&#x2019;s degree in computer science, IT, data engineering, mathematics, or related field or equivalent experience</li><li>Experience with Snowflake and Microsoft Azure tools such as Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Data Lake Storage</li><li>Proficient in SQL and familiar with writing queries, stored procedures, and managing datasets</li><li>Understanding of ETL/ELT frameworks, preferably in Snowflake or Azure Data Factory</li><li>Competency in SQL or equivalent languages like Python, R, or Apache Spark</li><li>Familiarity with DevOps practices and CI/CD pipelines for data solutions</li><li>Strong eagerness to learn new technologies and understand business processes</li><li>Ability to work collaboratively in cross-functional teams</li><li>Basic knowledge of Agile and Scrum methodologies</li><li>Willingness to learn about healthcare and analytics industries</li><li>Home office with high-speed wired internet (minimum 30 Mbps download / 5 Mbps upload, latency under 80 ms); cellular, hotspot, satellite or wireless internet not permitted</li><li>Dedicated, interruption-free workspace to ensure privacy and security of sensitive information</li></ul> Pay Range and Compensation Package:<ul><li>Target salary range: $75,696 - $95,760 USD</li><li>Maximum salary for the role: $106,704 USD</li><li>Compensation based on experience, skills, and organizational factors</li></ul> Benefits &amp; Perks:<ul><li>Health, vision, and dental insurance effective day one</li><li>401(k) retirement plan with company match up to 4% plus 6% annual company contribution</li><li>Tuition assistance program</li><li>Paid time off and personal community enrichment time</li><li>Basic life and AD&amp;D insurance provided by the company</li><li>Short-term and long-term disability insurance provided</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Associate Cloud Data Engineer - EDW Team

<div class="content-intro">
<h3>Who we are</h3>
<a href="https://himalayas.app/companies/samsara">Samsara</a> (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At <a href="https://himalayas.app/companies/samsara">Samsara</a>, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at <a href="https://himalayas.app/companies/samsara">Samsara</a> means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
</div><h3>About the role:</h3>Data and Analytics is a critical team within Business Technology. Our mission is to enable integrated data layers for all of <a href="https://himalayas.app/companies/samsara">Samsara</a> with the insights, tools, infrastructure to make data-driven decisions. We are a growing team that loves all things data — composed of data engineers, architects, analysts, and data scientists.We are looking for a Senior Data Engineer who brings a software engineer's mindset to data infrastructure. This isn't just a pipeline-builder role — we're looking for someone who thinks in systems, builds platforms others can extend, and is excited about pushing the boundaries of what data engineering looks like in an AI-first world. You'll architect Spark-driven workflows at scale, design data platforms as products, and build the next generation of intelligent tooling including MCP servers and AI agents that automate and accelerate data engineering workflows.Our team promotes an agile, collaborative, and supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.<h3>You should apply if:</h3><ul>
<li>
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.</li>
<li>
You are the architect of your own career: If you put in the work, this role won't be your last at <a href="https://himalayas.app/companies/samsara">Samsara</a>. We set up our employees for success and have built a culture that encourages rapid career development and mastery in a hyper-growth environment.</li>
<li>
You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas.</li>
<li>
You want to build platforms, not just pipelines: You think about data infrastructure as a product, care deeply about developer experience, and want to shape how an engineering team works with data at scale.</li>
<li>
You're excited about AI-augmented engineering: You want to be at the frontier of how AI agents and intelligent tooling change the way data engineers work.</li>
</ul><h3>In this role, you will:</h3><h3>Data Platform Engineering</h3><ul>
<li>Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of <a href="https://himalayas.app/companies/samsara">Samsara</a>'s Data Platform to enable advanced automation and analytics.</li>
<li>Work with data from a variety of sources including ERP(Netsuite), CRM(Salesforce), Product, Order Flow, and Support ticket data.</li>
<li>Manage critical data pipelines to enable growth initiatives and advanced analytics.</li>
<li>Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake.</li>
<li>Develop and improve data architecture, data quality, monitoring, observability, and data availability.</li>
<li>Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams.</li>
</ul><h3>Spark &amp; Distributed Systems</h3><ul>
<li>Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across Databricks and cloud environments.</li>
<li>Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency.</li>
</ul><h3>Platform &amp; Systems Thinking</h3><ul>
<li>Define and enforce data engineering standards, patterns, and best practices across the team.</li>
<li>Design systems with long-term maintainability in mind: clear contracts, testable components, and thoughtful failure modes.</li>
<li>Collaborate with platform and infrastructure teams to evolve the underlying architecture of <a href="https://himalayas.app/companies/samsara">Samsara</a>'s enterprise data ecosystem.</li>
</ul><h3>MCP Servers &amp; AI Agents</h3><ul>
<li>Build and maintain MCP (Model Context Protocol) servers that expose <a href="https://himalayas.app/companies/samsara">Samsara</a>'s data assets and engineering workflows to AI models and internal tooling.</li>
<li>Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle.</li>
<li>Evaluate and adopt emerging AI-native tooling for data engineering, staying ahead of the curve on how LLMs and agents can accelerate data work.</li>
</ul><h3>Leadership &amp; Collaboration</h3><ul>
<li>Champion, role model, and embed <a href="https://himalayas.app/companies/samsara">Samsara</a>'s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.</li>
<li>Provide mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams.</li>
<li>Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.</li>
<li>Lead end-to-end projects as the central point of contact for stakeholders.</li>
</ul><h3>Minimum requirements for the role:</h3><ul>
<li>Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program.</li>
<li>8+ years of work experience as a Software Engineer with data focus or as Data Engineer.</li>
<li>5+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling.</li>
<li>5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning.</li>
<li>Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with cloud data warehouse/lakehouse experience (e.g., Snowflake, Google BigQuery, Databricks, or Apache Iceberg).</li>
<li>Exposure to ETL tools such as Fivetran, DBT, or equivalent.</li>
<li>API experience: Python-based API frameworks for data pipeline ingestion.</li>
<li>RDBMS experience: MySQL, AWS RDS/Aurora, PostgreSQL, Oracle, MS SQL Server, or equivalent.</li>
<li>Cloud: AWS, Azure, and/or GCP.</li>
</ul><h3>An ideal candidate also has experience in:</h3><ul>
<li>Designing and governing a centralized semantic layer for reliable AI and analytics</li>
<li>Logging and monitoring experience: Splunk, DataDog, AWS CloudWatch, or equivalent.</li>
<li>AWS Serverless: API Gateway, Lambda, S3, SNS, SQS, SecretsManager.</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description">The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.</div>
<div class="title">Annual Base Salary</div>
<div class="pay-range">$118,107.50—$178,650 USD</div>
</div></div><div class="content-conclusion">
<h3>Total Rewards</h3>
At <a href="https://himalayas.app/companies/samsara">Samsara</a>, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
<h3>Flexible Working </h3>
At <a href="https://himalayas.app/companies/samsara">Samsara</a>, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
<h3>Belonging at <a href="https://himalayas.app/companies/samsara">Samsara</a>
</h3>
At <a href="https://himalayas.app/companies/samsara">Samsara</a>, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that <a href="https://himalayas.app/companies/samsara">Samsara</a> is a place where people from all backgrounds can make an impact.
<h3>Accommodations </h3>
<a href="https://himalayas.app/companies/samsara">Samsara</a> is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process.
<h3>Our Commitment to Authenticity</h3>
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see <a href="https://himalayas.app/companies/samsara">Samsara</a>’s Candidate Privacy Notice for more information.
<h3>Fraudulent Employment Offers</h3>
<a href="https://himalayas.app/companies/samsara">Samsara</a> is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

We are looking for a hands-on Senior Data Engineer to design, build, and maintain modern data platforms and production data pipelines using Snowflake, Apache Airflow, Python, and AWS. You will work across the full data engineering lifecycle &#x2014; from data ingestion and modeling to transformation, testing, deployment, monitoring, and production support. You&#x2019;ll collaborate with cross-functional teams to turn complex data requirements into reliable, scalable, and well-governed data solutions. Responsibilities:<ul><li>Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3</li><li>Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers</li><li>Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns</li><li>Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs</li><li>Integrate data from relational databases, APIs, object storage, and file-based sources</li><li>Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes</li><li>Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments</li><li>Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing</li><li>Monitor and troubleshoot production pipelines and proactively improve reliability and performance</li><li>Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products</li><li>Create technical documentation and specifications following established quality and compliance standards</li></ul> What we expect:<ul><li>5+ years of experience in Data Engineering, including at least 3 years working with production data platforms</li><li>Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures</li><li>Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization</li><li>Strong Python skills for ETL, database integration, automation, error handling, and testing</li><li>Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support</li><li>Experience working with relational databases, object storage, APIs, and file-based data sources</li><li>Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization</li><li>Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code</li><li>Strong problem-solving skills and the ability to work independently in a production environment</li><li>Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient</li></ul> Nice to have:<ul><li>Experience working in regulated or validated environments</li><li>Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data</li><li>Experience working with LIMS or other scientific/clinical data systems</li><li>Familiarity with OMOP or other standardized clinical data models</li><li>Experience with data-consumption and visualization tools such as Tableau or Streamlit</li><li>Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms</li><li>SnowPro certification</li><li>Experience with AWS Managed Workflows for Apache Airflow (MWAA)</li></ul> We offer:<ul><li>Competitive compensation</li><li>Remote work</li><li>Flexible working hours</li><li>A team with excellent tech expertise</li></ul>

Senior Data Engineer - Snowflake & Airflow

Build the food intelligence layer at WISEcode. Most people have no real way to know what&apos;s in their food or what it does to them. The information is scattered, inconsistent, and written to sell rather than to inform. WISEcode exists to change that: to give people a source they can actually trust, and the freedom to decide for themselves once they have it. Getting there takes more than a better app. It takes a system underneath that turns fragmented food data into answers that hold up: consistent, explainable, and the same whether they reach a parent scanning a label, a brand seeking verification, or an institution making decisions at scale. That system is what we are building, and it is the reason the work compounds instead of resetting with every new product. The Role We are hiring a Software Developer &amp; Engineer to work as a senior individual contributor, serving as the second engineer on The Pantry, our new data lakehouse (DuckLake on S3 Parquet, Postgres catalog, Prefect orchestration, Python throughout) . You will work alongside our Data team, combining hands-on implementation with platform and data architecture design in an early-stage environment where the shape of the work is still yours to define. You bring 3+ years of experience in a similar role, along with real comfort with ambiguity and pace. What you get in return is a problem that matters and the room to shape how it gets solved. Key Responsibilities <ul><li> Lakehouse Architecture &amp; Implementation: Own end-to-end implementation and collaborate on data/platform architecture alongside Nicholas. </li><li> Source Ingestion: Build and establish patterns for a variety of sources including APIs, text from public sources, and external databases. </li><li> Identity &amp; Entity Resolution: Merge the many records we collect for each product, across retailers and dates, into one trustworthy published record. Decide which source wins on each disagreement, and keep every original record so each published value can be traced to its source. </li><li> Pipeline Consolidation &amp; Enrichment: Consolidate existing food enrichment pipelines down to a single pipeline in collaboration with Kevin&apos;s team. </li><li> Downstream Connectors: Build robust connectors to feed collapsed food data to WISE Intel and the consumer app. </li><li> Operational Discipline &amp; Configuration: Maintain strict fail-fast config discipline (magic values in config files; early loud failures for missing settings). </li><li> Data Quality &amp; Reporting: Establish ingest capabilities and quality reporting for Data Assembly readiness. </li><li> Technical Documentation: Write plain, short, dated decision records prior to code implementation. </li></ul>Technical Skills <ul><li> Languages: Native proficiency in Python and SQL. </li><li> Storage &amp; Query Engines: DuckDB, DuckLake, S3 Parquet. </li><li> Databases: Postgres, DynamoDB (state management). </li><li> Orchestration &amp; Frameworks: Prefect, Kubernetes/Fargate job runners; familiarity with dbt, Dagster, or Airflow. </li><li> AWS Infrastructure: S3, ECS, Lambda, EventBridge, SNS, Terraform, IAM. </li><li> Reporting &amp; Data Modeling: Lakehouse, analytic/dimension design; Quarto reporting; Medallion architecture (bronze/clean), star schema (food sighting, ingredient, nutrient, provenance). </li><li> CI/CD: github actions </li></ul>Minimum Qualifications <ul><li> 3+ years of experience in a similar role </li><li> Proven track record of designing and shipping a lakehouse or data warehouse from scratch, and operating it for at least one year in production. </li><li> Demonstrated experience treating data identity and entity resolution as first-class architectural questions. </li><li> Experience running batch data pipelines that invoke paid cloud/third-party APIs at scale with strict cost efficiency and budget controls. </li><li> Experience pairing daily with other engineers in a fast-paced environment. </li></ul>Preferred Qualifications <ul><li> Experience making architectural trade-offs between lightweight/embedded query engines (e.g., DuckDB) versus distributed systems (Spark, Databricks, Snowflake). </li><li> Familiarity with data acquisition methods (e.g., web scraping, OCR API integration). </li><li> Note: Food or nutrition domain knowledge, deep Spark/Databricks/Snowflake experience, and people management experience are explicitly NOT required for this role. </li></ul>Compensation Competitive base, bonus, and meaningful equity. Details shared in the hiring process. Benefits <ul><li> Location: Fully remote </li><li> Unlimited PTO &amp; Paid Holidays: Unlimited time off and 10 paid holidays </li><li> Financial Wellness: 401(k) with a 4% company match, immediately vested </li><li> Health Benefits: Comprehensive medical, dental, vision, life, and additional ancillary coverage.</li><ul><li> 100% coverage for employees, with 80% covered for dependents </li><li> 100% employer paid STD, LTD, Identity Theft, and Life insurance </li><li> FSA and HSA plans available, for our HSA:</li><ul><li> $200/mo contributions for Employee plans </li><li> $400/mo contributions for Employee + Dependent plans </li></ul></ul></ul>Why WISEcode We are building the layer that food decisions will run on. That is quiet, compounding work: broadening coverage, sharpening precision, and making every output repeatable and defensible. We value transparency, rigor, and respect for the person making the decision, who deserves clear information and the freedom to reach their own conclusion. Come in early enough and you help shape how this system works instead of operating inside one someone else already designed. Research shows that some groups hesitate to apply unless they meet every qualification. If you&#x2019;re excited about this role but don&#x2019;t check every box, we encourage you to apply. At WISEcode, we value diverse experiences, transferable skills, and the unique strengths each person brings. WISEcode is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Software Developer & Data Engineer

Description Job Description The Work: We are seeking a Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission&#x2011;critical systems. Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections. What You Will Do <ul><li>Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems</li><li>Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse)</li><li>Integrate structured and unstructured data from multiple government and third&#x2011;party sources</li><li>Ensure data quality, integrity, availability, and performance across systems</li><li>Support ATO, RMF, and federal security requirements, including documentation and audit support</li><li>Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation</li><li>Translate business and mission requirements into scalable technical solutions</li><li>Produce and maintain technical documentation for data flows, pipelines, and architectures</li><li>Participate in Agile ceremonies and work closely with cross&#x2011;functional teams </li></ul>What You Will Bring With You <ul><li>Active Top Secret clearance, with SCI eligibility</li><li>2+ years of experience designing and supporting enterprise data solutions in federal or regulated environments </li></ul>What We Would Like You To Bring With You <ul><li>Bachelor&apos;s Degree in related field</li><li>Prior experience supporting federal or DoD programs, preferably DCSA</li><li>Strong experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server, Azure SQL, or similar)</li><li>Knowledge of data modeling techniques, ETL/ELT processes, and data integration patterns</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data services</li><li>Experience supporting security, governance, and compliance requirements</li><li>Experience with data warehousing, reporting, and analytics platforms</li><li>Familiarity with DevSecOps, CI/CD pipelines, and infrastructure&#x2011;as&#x2011;code </li></ul>#icfcleared #dcsa2026 #indeed Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance. Working at ICF ICF is a global advisory and technology services provider, but we&#x2019;re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world&apos;s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our&#x202F;EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email&#x202F;Candidateaccommodation@icf.com&#x202F;and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.&#x202F; Read more about&#x202F;workplace&#x202F;discrimination&#x202F;rights or our benefit offerings which are included in the&#x202F;Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.&#x202F; However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at&#x202F;candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. &#x202F; Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $81,499.00 - $167,644.00 Nationwide Remote Office (US99)

Data Engineer (Clearance Required)

<h3>About <a href="https://jobicy.com/company/tile" target="_blank" rel="noopener">Life360</a></h3>
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries. 
Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). 
Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit <a href="http://life360.com/" rel="nofollow ugc noopener" target="_blank">life360.com</a>.
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.
<h3>We are AI Native</h3>
We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.
Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.
<h3>About the Team</h3>
The Data &amp; Analytics team is building Life360's next-generation data platform — powering real-time decision-making, experimentation, ML, and large-scale analytics. We operate at significant scale and complexity in a high-ambiguity environment, and we expect engineers to own problems, drive clarity, and raise the bar across the org.
We're looking for a high-intensity engineer who wants to envision, design, and build high-impact data products with cutting-edge tools — all while keeping our members ahead of the metrics. You'll become the go-to person for data products across the business, joining a collaborative team that communicates openly, celebrates wins together, and is committed to helping everyone do their best work.
<h3>About the Job</h3>
At Life360, we collect a lot of data: tens of billions of unique location points, tens of billions of user actions, billions of miles driven every single month, and so much more. As a Senior Data Engineer II, you will enhance and maintain our data processing and storage pipelines for a robust and secure data lakehouse. We're looking for a strong engineering background — and just as important, a genuine desire to take ownership and make our data systems world class.
The US-based salary range for this position is $148,000 to $216,500. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.
Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.
<h3>What You’ll Do</h3>
Primary responsibilities include, but are not limited to:
<ul>
<li>Design, build, and maintain scalable, distributed data pipelines and systems — from ingestion through ELT to storage — supporting streaming and batch processing for real-time analytics, ML, and experimentation.</li>
<li>Automate, test, and harden data workflows to ensure reliability at scale.</li>
<li>Architect logical and physical data models that meet evolving business needs.</li>
<li>Build and maintain features for ML models.</li>
<li>Collaborate with product, analytics, and data science teams to turn data into value.</li>
</ul>
<h3>What We’re Looking For</h3>
<ul>
<li>5+ years of experience working with high volume data infrastructure.</li>
<li>Deep expertise with a modern cloud data warehouse or lakehouse platform (Databricks preferred; Snowflake, BigQuery, or similar also considered) on a major cloud provider (AWS, GCP, or Azure).</li>
<li>Proficient in Python and SQL, with the ability to write and optimize complex queries.</li>
<li>Must have hands-on experience with dbt, ownership of dbt models.</li>
<li>Experience with large-scale data processing using Spark and/or Presto/Trino.</li>
<li>Strong grasp of data modeling, partitioning strategies, storage formats, and analytical workload optimization.</li>
<li>Hands-on experience leveraging LLMs for code generation, analysis, and related work — including reviewing AI-generated output with a close eye on quality, standards, and testing, and owning it as your own.</li>
<li>Experience with modern data engineering tooling — orchestration (Airflow, Databricks Workflows), CI/CD (GitHub Actions), and infrastructure-as-code (Terraform, DABs).</li>
<li>BS in Computer Science, Information Systems, Management Information Systems, Statistics, Mathematics, Data Science, Engineering (Computer, Electrical, or Software), or a related quantitative field.</li>
</ul>
<h3>AI-Native Expectations</h3>
<ul>
<li>The team leverages LLMs to support code generation, analysis, and other use cases. Your experience with AI / LLM usage should include managing code generation with a close eye on quality, standards, and testing — owning the outputs as your own. Your work with and ability to leverage these tools will drive your velocity and ability to effectively work within our environment.</li>
</ul>
<h3>Nice to Have</h3>
<ul>
<li>Experience working with an experimentation framework.</li>
<li>Experience designing and maintaining real-time streaming architectures.</li>
</ul>
<h3>Our Benefits</h3>
<ul>
<li>Medical, dental, vision, life and disability insurance plans (100% paid for employees)</li>
<li>Paid parental leave</li>
<li>401(k) plan with company matching program</li>
<li>Mental Wellness Program &amp; Employee Assistance Program (EAP) for mental well-being</li>
<li>Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns</li>
<li>Learning &amp; Development programs</li>
<li>Equipment, tools, and reimbursement support for a productive remote environment</li>
<li>Free Life360 Platinum Membership Tile trackers</li>
</ul>
<h3>Life360 Values</h3>
Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference 
<ul>
<li>Be a Good Person - We have a team of high integrity people you can trust. </li>
<li>Be Direct With Respect - We communicate directly, even when it’s hard.</li>
<li>Members Before Metrics - We focus on building an exceptional experience for families. </li>
<li>High Intensity, High Impact - We do whatever it takes to get the job done. </li>
</ul>
<h3>Our Commitment to Diversity</h3>
We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. 
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

Senior Data Engineer II, AI Native

<h3>EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.</h3>
<h3>Role Description</h3>
This is a forward-deployed engineering role. You'll work shoulder-to-shoulder with mission heroes: the users, operators, and program engineers who run real workloads in real DoD environments. You'll help take UDS Data Capability from "deployable" to "running in production under classification." You will deploy, integrate, and operate our data stack in the mission hero's environment alongside senior engineers, then carry what you learn back into the product so the next engagement is easier.
The scope of this work varies by engagement. Some programs require standing up a governed data platform to centralize sensor or operational data from known sources, where the problem is well-defined and the priority is building and shipping. Others involve consolidating data across hundreds of interconnected government systems of record with overlapping schemas, deeply interdependent data flows, and significant architectural complexity. You should be comfortable building independently against defined problems and growing into more ambiguous, complex engagements over time.
Forward-deployed means aligned with the mission hero, not always on a plane. Most of the work is remote. You'll travel to sites when the engagement calls for it: initial standup, integration work, incident response, training and knowledge transfer. The rest of the time, you'll be on a video call or in a shared chat with that same mission hero. The role is defined by the relationship with the mission hero, not by where you sit.
You are a data engineer who can build across the breadth of a data platform (storage, ingestion, streaming, governance, and access) and deliver working solutions in constrained, mission-critical environments.
<h3>Responsibilities</h3>
<ul>
<li>Deploy and configure UDS Data Capability in the mission hero's environment. Stand up the UDS Store (Iceberg, Rook/Ceph, pgvector, Postgres), wire up UDS Transit for air-gap data movement, configure UDS Govern policies (Pepr/Lula), and integrate UDS Connect (Strimzi/Kafka) where streaming or legacy connectors are required.</li>
<li>Build and support integrations with existing mission systems. Connect UDS Data Capability to legacy databases, flat-file drops, SOAP/REST endpoints, message buses, existing object storage, and identity providers (Keycloak, mission-side SSO). Prior experience integrating with these types of systems is more relevant than experience building on them.</li>
<li>Contribute to mapping complex data landscapes. Some engagements involve hundreds of interconnected systems of record with overlapping schemas and deeply interdependent data flows. You'll help trace how data moves across systems and identify dependencies alongside senior engineers and government stakeholders.</li>
<li>Build pipelines that move data through classification boundaries, including ingestion, transformation, catalog registration, model/dataset packaging via Zarf, cross-domain transit, and eventual consistency across DDIL conditions.</li>
<li>Implement data provenance, lineage, and governance practices. Track where data came from, how it transformed, and who can access it.</li>
<li>Operate what you deploy. Day-2 ownership includes capacity, performance, backup/restore (Velero), observability (Vector/Loki), incident response, and upgrade paths. Hand off to the mission hero's ops team once it's stable.</li>
<li>Generate accreditation artifacts, including STIG evidence, cATO documentation, FIPS validation notes, and policy mappings. You produce the evidence the mission hero's ISSM/ISSO needs to run this in IL4/IL5.</li>
<li>Contribute field feedback back to product and engineering. File issues, write postmortems, and surface what's working and what's breaking in the mission environment.</li>
<li>Support training and knowledge transfer. Contribute to runbooks, architecture docs, and working sessions that leave the mission hero's team self-sufficient.</li>
</ul>
Preferred Locations: Colorado Springs, CO or Florida Space Coast (Cape Canaveral / Cocoa Beach / Melbourne). Remote candidates will be considered, but local presence is strongly preferred.
Travel Expectations: Candidates based in Colorado Springs or the Florida Space Coast can expect on-site presence 1-2 days per week. Remote candidates should expect to travel to the engagement site for approximately one week every 4-6 weeks.
The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.
<h3>Required Qualifications</h3>
Data engineering breadth
<ul>
<li>Unstructured data at scale. Experience storing and querying large unstructured datasets using data lake architectures. Spark experience preferred.</li>
<li>Streaming &amp; integration. Experience with stream processing infrastructure (Kafka, Redpanda, Flink, or equivalent) and bridging data from heterogeneous sources into modern pipelines.</li>
<li>Data warehousing. Open-source data warehousing platform experience. These environments do not support proprietary platforms, so you need to be comfortable building without them.</li>
<li>Pipelines &amp; orchestration. Airflow, Dagster, Argo Workflows, or similar. Comfort building, scheduling, monitoring, and recovering production data pipelines.</li>
<li>Data modeling &amp; SQL. Fluent in SQL. Comfortable designing schemas for both analytical and operational workloads.</li>
</ul>
Open-source orientation. You are comfortable building on open-source tooling and contributing back to it.
What "forward-deployed" requires
<ul>
<li>U.S. citizenship and the ability to obtain and maintain a DoD security clearance. Clearance sponsorship available for the right candidate.</li>
<li>Comfort working directly with mission heroes and government stakeholders. Clear communication with both technical and non-technical audiences.</li>
<li>Comfort with periodic on-site work, sometimes for days at a stretch, and equal comfort working remotely.</li>
<li>Bias toward delivery. Preference for shipping a working integration over perfecting a design that hasn't met a real workload.</li>
<li>Self-direction. You will encounter environments and problems that are not yet documented and will need to work through them independently.</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Data provenance, lineage, and governance. Experience with lineage tracking, data catalogs, provenance systems, or governance frameworks. Depth here will be weighted heavily.</li>
<li>DoD or defense program experience.</li>
<li>Active Secret clearance (or higher).</li>
<li>Lakehouse &amp; storage: Apache Iceberg (or Delta/Hudi), object storage (Ceph/S3-compatible), Postgres (including extensions like pgvector), columnar/OLAP engines (Trino, DuckDB, ClickHouse, Spark SQL).</li>
<li>Change Data Capture: Debezium or similar CDC patterns.</li>
<li>Governance, catalog &amp; access: REST catalogs (Iceberg REST, Polaris/Gravitino/Nessie family), ABAC/RBAC patterns, OIDC/OAuth, lineage and audit.</li>
<li>Kubernetes awareness. Deep K8s expertise is not required; general familiarity with deployments, operators, and how applications run on Kubernetes is valuable.</li>
<li>Linux fundamentals, container runtime behavior, networking, TLS, secrets management.</li>
<li>IaC (Terraform, Pulumi, or similar) and GitOps patterns (Flux, ArgoCD).</li>
<li>Familiarity with the CNCF ecosystem, including the distinction between foundation projects and single-vendor projects.</li>
<li>AI/ML awareness. General understanding of how data infrastructure supports model training, versioning, provenance, and AI operations.</li>
<li>Familiarity with Air Force or Space Force systems of record (e.g., MILPDS, ARMS) and how data flows between them.</li>
</ul>
You do not need to meet every preferred qualification. You do need to be credible across the core data engineering requirements.
Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. 
Remote - USA
$123,250—$166,750 USD
<h3>Who We Are</h3>
<a href="https://jobicy.com/company/defense-unicorns" target="_blank" rel="noopener">Defense Unicorns</a> delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.
<h3>What We Do</h3>
We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily.
<h3>Who We Serve</h3>
Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products.
<h3>What We Work On</h3>
<ul>
<li>Kubernetes</li>
<li>Cloud Environments (AWS/GCP and Azure)</li>
<li>Infrastructure-as-code (like Terraform/Pulumi)</li>
<li>Continuous Delivery and automation tooling</li>
<li>GitOps</li>
<li>Containers</li>
<li>CNCF projects and open source products and packages</li>
<li>Helm/Kustomize-Value Stream Mapping</li>
<li>Building and improving security delivery</li>
<li>Building Kubernetes and cloud native applications</li>
</ul>
<h3>Benefits Our Unicorns Enjoy</h3>
<h3>Health:</h3>
<ul>
<li>Medical/Dental/Vision</li>
<li>Premiums are 100% Company Paid</li>
<li>Health Savings Account</li>
<li>Life Insurance</li>
<li>Disability Insurance</li>
</ul>
<h3>Financial:</h3>
<ul>
<li>401k Retirement Plan</li>
<li>Company Stock Options</li>
<li>Home Office Budget</li>
</ul>
<h3>Leave:</h3>
<ul>
<li>We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s</li>
<li>Paid Parental Leave</li>
</ul>
<h3>Learning:</h3>
<ul>
<li>Reimbursement for approved trainings/subscriptions</li>
<li>Conferences (travel, lodging, and fees)</li>
</ul>
Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. 
At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
<a href="https://drive.google.com/file/d/1DzT00w2uadYw9TfdorHuEsvPccZvn_g4/view?usp=drive_link" rel="nofollow ugc noopener" target="_blank">CCPA DISCLOSURE</a>

FDE Data Engineer- Space (FedD141/FedD147)

<h3>About Us</h3>Curvion is a high performance RevOps &amp; sales augmentation agency that installs and deploys enterprise-grade, AI-driven revenue engines and selling systems for our clients. Think of a lead generation based marketing agency…. But focused on sales! We design and install complete sales systems from sales processes and GTM strategy to CRM setup all the way to fully outsourced sales engagements. Then we enhance those systems with AI enabled tools and battle tested playbooks, and finally, we provide highly trained sales talent to help our clients execute so their revenue engine runs faster, scales efficiently, and performs consistently. In short, we build and power modern, AI-driven sales systems that help companies grow with clarity and control.<h3>Position Overview: HubSpot Systems &amp; Data Engineer</h3>The HubSpot Systems &amp; Data Engineer is the person who makes sure the infrastructure underneath our clients' sales operations actually works.This is a deeply technical, hands-on role centered around HubSpot architecture, data integrity, automation, integrations, reporting, and system performance. You’ll work across multiple client environments, identifying problems, building solutions, cleaning up messy systems, and creating infrastructure that can scale.This is not a CRM admin role where you occasionally create a property or fix a contact record.We’re looking for a legitimate HubSpot and data nerd who enjoys getting into the weeds. Someone who can look at a complicated CRM environment, understand what is happening under the hood, find what is broken, and build a better way.This is an agency role. You’ll work across multiple clients, each with different sales processes, systems, data structures, and business requirements. Experience working in a client-services environment is critical.Ideal background: HubSpot Solutions Partner, HubSpot agency, RevOps agency, CRM consultancy, or similar technology/implementation agency.<h3>You SHOULD apply to this role if:</h3><ul>
<li>You have agency, consultancy, or client-services experience</li>
<li>You’ve preferably worked for a HubSpot Solutions Partner, HubSpot agency, RevOps agency, CRM consultancy, or similar organization</li>
<li>You have configured and optimized HubSpot environments for multiple clients</li>
<li><h3>HubSpot is basically your playground</h3></li>
<li>You understand CRM architecture, objects, properties, pipelines, workflows, automation, and data structures</li>
<li>You’ve worked with integrations, APIs, webhooks, dialers, schedulers, reporting tools, or other sales technology</li>
<li>You’re obsessive about clean, accurate, usable data</li>
<li>You enjoy troubleshooting why data isn't behaving the way it should</li>
<li>You can walk into a messy HubSpot account and quickly identify what needs to change</li>
<li>You understand how CRM data impacts reporting, attribution, forecasting, and sales execution</li>
<li>You’re comfortable managing multiple client environments simultaneously</li>
<li>You’d rather fix the root cause than keep patching the same problem every week</li>
<li>You enjoy documenting systems so other people can actually understand and maintain them</li>
</ul><h3>You SHOULD NOT apply to this role if:</h3><ul>
<li>Your HubSpot experience has primarily been as an end user</li>
<li>You’ve only managed a single internal CRM environment</li>
<li>You have no agency, consulting, or client-services experience</li>
<li>You don't enjoy working across multiple client environments</li>
<li>"Data hygiene" sounds painfully boring to you</li>
<li>You prefer strategy without getting into the technical weeds</li>
<li>You aren't comfortable troubleshooting integrations and system issues</li>
<li>You don't care whether the underlying data is accurate as long as the dashboard looks good</li>
<li>You need someone else to tell you exactly what to build</li>
</ul><h3>Core Outcomes</h3><ul>
<li>HubSpot environments are clean, scalable, and intentionally structured</li>
<li>CRM data is accurate, reliable, and usable</li>
<li>Workflows, automations, and integrations operate as intended</li>
<li>Data issues are identified and resolved before they become operational problems</li>
<li>Reporting and downstream data systems receive reliable CRM data</li>
<li>CRM architecture and standards remain consistent across client environments</li>
<li>New client systems are deployed with strong technical foundations</li>
<li>System documentation accurately reflects the environments we operate</li>
</ul><h3>General Expected Duties</h3><ul>
<li>Build, configure, and optimize HubSpot properties, objects, pipelines, workflows, automations, and system architecture</li>
<li>Audit client HubSpot environments for data quality, structural issues, and operational inefficiencies</li>
<li>Identify and resolve CRM data integrity issues</li>
<li>Build and maintain integrations between HubSpot and other sales, marketing, communication, and reporting platforms</li>
<li>Work with APIs, webhooks, imports, exports, and other data movement processes</li>
<li>Support CRM migrations, account deployments, and large-scale system changes</li>
<li>Partner with data and RevOps teams to ensure CRM data is structured properly for reporting and analysis</li>
<li>Build processes for data validation, deduplication, normalization, and ongoing data hygiene</li>
<li>Troubleshoot CRM and integration issues and identify root causes</li>
<li>Establish and maintain CRM data standards and governance</li>
<li>Document system architecture, workflows, integrations, and technical processes</li>
<li>Identify opportunities to improve the reliability, scalability, and performance of client CRM environments</li>
<li>Support broader RevOps initiatives where CRM architecture and data are critical components</li>
</ul><h3>Compensation &amp; Logistics</h3>Job Type: Full-time, W-2 OTE: $72,000 - $100,000 annually Additional Compensation: Bonus opportunities Schedule: Monday-Friday, 9:00 AM-6:00 PM Location: Remote<h3>Compensation Range: $72K - $100K</h3>Originally posted on <a href="https://himalayas.app">Himalayas</a>

HubSpot Systems & Data Engineer

About Our ClientThe organization operates a consumer marketplace that uses machine learning and generative AI to help millions of renters find homes. Founded in 2009, the platform features more than six million rental units and has secured approximately $169 million in funding. The company is advancing toward an AI-first strategy while modernizing the revenue, Salesforce, and data infrastructure that powers its marketplace.About the OpportunityThe Senior Data Engineer II leads the end-to-end design and management of data pipeline architecture within a focused, high-impact data platform team. This senior individual contributor role combines hands-on engineering, production operations, and independent architectural decision-making. The position helps shape how analytics engineering, data science, and product engineering teams build and operate on the data platform.Responsibilities&#x2022; Own architecture across data ingestion, transformation, modeling, and serving layers.&#x2022; Design improvements that optimize warehouse costs, compute efficiency, access control, reliability, and observability.&#x2022; Lead large cross-functional projects and multiple concurrent technical initiatives from design through delivery.&#x2022; Develop monitoring, testing, and alerting systems to improve production visibility and reliability.&#x2022; Enhance orchestration, CI/CD, data access, and developer experience across the platform.&#x2022; Mentor data and analytics engineers and provide technical guidance on architecture and data modeling decisions.&#x2022; Develop practical AI-powered tools and automation to increase engineering efficiency and team leverage.&#x2022; Troubleshoot production data infrastructure and resolve complex pipeline and platform issues.&#x2022; Communicate architectural decisions, tradeoffs, and technical recommendations to technical and non-technical stakeholders.Requirements&#x2022; 6&#x2013;9 years of experience as a data engineer or data platform engineer.&#x2022; Strong hands-on SQL and Python skills suitable for production environments.&#x2022; Production experience with containerized data infrastructure, including deployment and operational troubleshooting.&#x2022; Experience with pipeline orchestration tools such as Airflow.&#x2022; Experience with cloud data warehouses such as BigQuery.&#x2022; Proven ability to own data pipeline architecture end to end.&#x2022; Strong understanding of tradeoffs involving data freshness, cost, scalability, reliability, and system simplicity.&#x2022; Ability to communicate complex technical concepts and architectural tradeoffs effectively.&#x2022; US work authorization without current or future visa sponsorship.Pay Range and Compensation Package&#x2022; Base salary range of $145,000&#x2013;$207,000 per year.&#x2022; Competitive equity compensation.Benefits &amp; Perks&#x2022; Strong emphasis on sustainable work pace and work-life balance.&#x2022; High ownership within a small data platform team.&#x2022; Meaningful greenfield engineering opportunities.&#x2022; Fully remote work within the United States.&#x2022; Opportunity to attend company on-sites up to four times per year.&#x2022; Full-time senior individual contributor position. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company&#x2019;s career page or ATS.

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers &amp; operators, and formerly frustrated cybersecurity practitioners. We&apos;re committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, &quot;checkbox&#x201D; security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results. What You&#x2019;ll Do The Federal - Senior Backend Engineer will be joining one of our world-class software engineering teams, and will be a key contributor to both user-facing product launches as well as platform enhancements and stability. *This job description covers roles available across multiple teams. During the interview process, we&#x2019;ll work with you to determine the best team fit based on your experience, interests, and career goals. Responsibilities <ul><li>Develop core product features in ETL (Extract, Transform, Load) and GraphQL to support data processing and retrieval.</li><li>Design and implement backend APIs in GraphQL to facilitate data interactions between different components of the product.</li><li>Build and maintain ETL pipelines for efficient data processing and analytics.</li><li>Collaborate with frontend team members to present data in a clear and user-friendly format, enhancing the product&apos;s user experience. </li></ul>What You&#x2019;ll Bring <ul><li>Ability to own and manage concurrent initiatives, demonstrating effective judgment in prioritization and time management.</li><li>Driven, self-managed, capable of conceiving and implementing solutions on your own and with a team</li><li>A strong desire to continuously improve and learn new technologies in a fast-paced Agile development environment</li><li>Excellent analytical and problem-solving skills, effective communication, attention to detail and high-quality work</li><li>Strong technical documentation ability to support the development process.</li><li>Effective communication and collaboration with designers, developers, and product managers.</li><li>Ability and interest in mentoring junior and mid-level engineers to foster their growth and development. </li></ul>Required Education / Experience <ul><li>Bachelor&apos;s Degree in Computer Science, Computer Engineering or related field.</li><li>7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Java, Go, Scala, C++, TypeScript, etc).</li><li>Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.</li><li>Experience building and troubleshooting capabilities in Federally compliant systems such as FedRAMP, IL4/5/6, and other Classified workloads.</li><li>Expert proficiency in SQL.</li><li>Current security clearance and/or ability to gain and maintain a TS level clearance. </li></ul>Preferred Education/Experience <ul><li>Experience with various database architectures including relational (PostgreSQL) and graph (Neo4j).</li><li>Experience building GraphQL backends.</li><li>Experience managing and maintaining production infrastructure.</li><li>Experience building platform capabilities for internal teams.</li><li>Experience using AI-enabled development tools </li></ul>Travel Required We are a fully remote company with a strong preference for candidates in the Washington DC area. This job may require up to 5% of travel to be successful. Compensation And Values At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations. In accordance with various State&#x2019;s transparency regulations, we provide the following salary range information for this position: <ul><li>Base salary range: The exact salary will be determined based on the selected candidate&#x2019;s location, qualifications, experience, and relevant skills.</li><li>Additional compensation: All full-time roles are eligible for an equity package in the form of stock options. </li></ul>Perks of Horizon3 <ul><li>Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.</li><li>Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.</li><li>Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.</li><li>Remote Work: We are a 100% remote company. Enjoy the flexibility to work in the way that supports you and brings out your best.</li><li>Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision &amp; dental insurance for you and your family, a flexible vacation policy, and generous parental leave. </li></ul>You Belong Here Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law. Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth. We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Application Note In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Federal Back-End Engineer

Marqeta processes hundreds of billions of dollars in payments a year, in a highly regulated card-issuing environment. Data provenance, quality, and access control are foundational to meeting our regulatory obligations and the needs of critical business functions, and we treat them as engineering problems. We are hiring the engineer who will design and lead implementation of the data governance platform, with contracts, compliance requirements, and quality standards enforced in CI and in the write path. You will be its technical lead. The role sits within the Data and ML team, which owns the data lake, the analytics platform, and our ML platform. You will work alongside the leads who define governance policy and enterprise data models, translating what they need into what the platform can enforce and telling them what it will cost. You will set technical direction across the platform team and partner with TPMs and engineering managers on planning and prioritization. We work Flexible First. This role can be performed remotely within the United States. We&#x2019;d love for you to join us! What You&apos;ll Build <ul><li>The data asset registry, and the control plane that grows around it, with the data catalog as its primary interface: the source of truth for asset state, ownership, and metadata enrichment.</li><li>The contract model, and the libraries and CI modules other teams consume so contracts, compliance rules, and breaking changes are checked automatically.</li><li>The emission framework that lakehouse and warehouse pipelines instrument against, and the work of getting those pipelines onto it, so lineage, freshness, and completeness are captured rather than assembled by hand.</li><li>The data quality framework: where checks run, what a failure blocks, and the limits of what stewards can express in a rule.</li><li>Impact analysis over the lineage graph that supports regulatory requests like deletion, purpose limitation, and subject access.</li><li>Tooling data stewards use to curate at volume and work remediation, plus campaign instrumentation so coverage and blockers stay visible.</li><li>Compliance automation: retention and residency controls, evidence that those controls operated, and contract-driven access controls built with our security team, who own PII classification. </li></ul>What We&apos;re Looking For <ul><li>You have built a control plane or policy engine that applies authoritative governance decisions across an organization rather than leaving each team to re-implement them, and you operated it in production.</li><li>You can explain what a failed check does to downstream consumers and backfills, because you have had to design that behavior in CI and in the write path.</li><li>You treat the engineers and stewards who use your platform as customers, and you have driven adoption of something that constrained them without authority over them.</li><li>You have decided what to build, extend, and buy on a platform with a multi-year arc, and can walk through a call you got wrong.</li><li>You have built controls that generate their own evidence, rather than stitching evidence together for auditors after the fact.</li><li>Deep in Python, proficient in Java, and fluent in infrastructure as code.</li><li>8+ years in backend or infrastructure engineering, including substantial recent work on metadata, data quality, governance, or developer platforms. </li></ul>Nice-To-Haves <ul><li>Experience extending a metadata platform in production, whether custom plugins, APIs, or model changes. We run DataHub Cloud.</li><li>Experience working with column-level lineage at scale, with OpenLineage or otherwise.</li><li>Experience working with Iceberg, Snowflake, Airflow, Kafka, Flink, Spark, or Kubernetes in production.</li><li>Experience working in regulated environments (e.g., SOX, PCI-DSS).</li><li>Experience working in payments or card issuing. </li></ul>Compensation And Benefits Marqeta calibrates pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: <ul><li>National: A baseline tier that applies to most of the geographic territory of the United States.</li><li>Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA</li><li>Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City. </li></ul>Visit this page or consult with a recruiter to determine which tier would be applicable to you. When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this full-time position is: <ul><li>National: 200,500 - 250,600</li><li>Premium: 210,200 - 262,800</li><li>Premium Plus: 220,000 - 275,000 </li></ul>We also believe in recognizing the contributions of our people. That&apos;s why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. Along with monetary compensation, Marqeta currently offers <ul><li>Multiple health insurance options</li><li>Flexible time off &#x2013; take what you need</li><li>Retirement savings program with company contribution and after tax contributions</li><li>Equity in a publicly-traded company and an Employee Stock Purchase Program</li><li>Family-forming benefits, fertility support and generous parental leave base salary top-up</li><li>Free therapy sessions, financial and professional coaching, and legal advice</li><li>Monthly stipend to support our remote work model</li><li>Annual &#x201C;development dollars&#x201D; to support our people growth and development </li></ul>About Marqeta Marqeta is on a mission to change the way money moves. We&#x2019;re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don&#x2019;t need to be a Payments expert to join the Marqeta Team, let us help you with that. This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all. Marqeta&#x2019;s Values &#x2013; Solve for the Customer: With a deep understanding of our customers&apos; business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do. &#x2013; Do What&apos;s Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish. &#x2013; Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes. &#x2013; Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team. &#x2013; Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right. Equal Employment Opportunity, Accommodations and Privacy Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements. Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request. Marqeta cares about your privacy. Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here. To keep our interview process fair and consistent, we ask that all candidates join video interviews with their camera on. Notice on Use of AI in Recruitment We may use artificial intelligence (AI) tools in our recruitment processing consistent with the requirements of applicable laws. For more information, review our AI notice here.

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