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.

Data Engineer

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

Where you&#x2019;ll add valueThis role is a full-time, 12month maximum term contract and sits within the Financial Crime Maturity Program and plays a critical part in strengthening how the Bank uses data to detect, assess and manage financial crime risks. As a Data Engineer, you&apos;ll build and maintain the data products that underpin key financial crime capabilities. Your work will support customer risk assessment, transaction monitoring, sanctions screening, fraud detection, investigations, regulatory reporting and operational insights. This is a hands-on engineering role with strong exposure to modern data platforms, cloud technologies, data governance, and financial crime transformation initiatives. Working as part of an inclusive and collaborative team your key responsibilities will include:<ul><li>Design and build scalable data pipelines that support financial crime and fraud use cases.</li><li>Develop curated datasets that provide trusted information for risk management, investigations, reporting and analytics.</li><li>Integrate data from banking systems, payment platforms, customer applications, transaction monitoring tools, screening systems, APIs, SaaS solutions, and third-party providers.</li><li>Implement data quality controls to ensure accuracy, completeness and traceability.</li><li>Create and maintain data lineage across source systems, transformations, reports and regulatory outputs.</li><li>Support the development of customer risk models, detection rules, monitoring scenarios and analytical features.</li><li>Contribute to the governance of critical financial crime data assets and ensure compliance with privacy and security requirements.</li><li>Monitor and optimise pipeline performance, reliability and scalability.</li><li>Work closely with Financial Crime, Fraud, Technology, Data and Risk teams to deliver practical solutions that meet business and regulatory requirements.</li><li>Contribute to documentation, technical design artefacts, engineering standards and operational support activities.</li></ul> What sets you up for success<ul><li>At least four years&apos; experience in Data Engineering, Software Engineering, Platform Engineering, Site Reliability Engineering, or a similar technical discipline.</li><li>Experience designing and supporting production-grade data pipelines.</li><li>Strong SQL capability.</li><li>Proficiency in Python, Scala, Java, or Go.</li><li>Experience working with cloud-based data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Experience with modern data engineering tools such as DBT, Airflow, Dagster, Fivetran, Airbyte, AWS DMS, or similar technologies.</li><li>A practical understanding of data governance concepts, including lineage, data quality, metadata management, and critical data elements.</li><li>Experience implementing data quality controls and resolving data issues in complex environments.</li><li>Familiarity with DevOps practices, automated testing, CI/CD pipelines, source control, and Infrastructure as Code.</li><li>Strong communication skills and an ability to work effectively with both technical and business stakeholders.</li><li>Exposure to AML/CTF, fraud prevention, customer risk assessment, transaction monitoring, regulatory reporting, or financial crime technology platforms will be particularly valuable.</li></ul> What we can offer youThere&#x2019;s life at work, and life outside of work &#x2013; and we understand that. That&#x2019;s why we offer an extensive range of employee benefits.<ul><li>Enjoy flexible work arrangements.</li><li>Be supported with leadership and professional development, such as education assistance, mentoring, and emerging leadership programs.</li><li>Generous discounts on home loans, personal loans, insurance and other banking products and services.</li><li>An incentive scheme for exceptional performance, up to two weeks&#x2019; additional purchased leave per year, and novated lease program.</li><li>12 weeks paid parental leave for the primary care giver, and three weeks for the non-primary care giver.</li><li>Two days&#x2019; paid volunteer leave each year to use with a community partner of your choice.</li><li>Employee social clubs in our Perth and Coffs Harbour corporate offices.</li></ul> About usAre you looking for a career with endless opportunities? There&#x2019;s more to us than banking. We are a competitive Australian retail bank with customer-centricity at the heart of everything we do. P&amp;N Group is amongst the largest customer-owned banking organisations in Australia, represented by P&amp;N Bank in Western Australia and BCU Bank in New South Wales and southeast Queensland. Our purpose is to enrich the lives of our customers and their communities. Our culture is the sum of how we do things &#x2013; and we believe it&#x2019;s a real point of difference. Our culture is shaped by each and every one of us and by joining us, you will shape it too. We empower our people, mistakes are seen as an opportunity to learn, and we encourage diverse thinking. We are driven by a shared purpose and come together to build a workplace of trust and belonging for all. We continue to transform, shape, and develop the products, services, digital tools, and experience we offer our customers of today and tomorrow. To help us achieve our ambitious plans, we&#x2019;re looking for talented individuals to join our teams across all three states and all areas of our organisation. What does our recruitment process look like?The process can include a phone screen, virtual and/or face-to-face interview, psychometric testing, reference checks, and all relevant background checks. At P&amp;N Group, we are committed to creating an inclusive employee experience and better understanding the needs of our customers. We support this through employee networks, flexible work options, mentoring and initiatives that strengthen inclusion and cultural understanding across the organisation. We welcome and encourage applications from people of all backgrounds, identities, and lived experiences. This includes people who identify as LGBTQIA+, people with disability and/or who are neurodivergent, Aboriginal and/or Torres Strait Islander peoples, and people of all genders, ages and cultural backgrounds. If you require adjustments or flexibility during the recruitment process, please contact our Talent Acquisition team at recruitment@pnbank.com.au. We&#x2019;ll work with you to support your participation. To find out more about what it&#x2019;s like to work with us, visit https://www.pnbank.com.au/about/careers/, or meet some of our people here https://www.youtube.com/watch?v=ae8tyBGYofI. The closing date for applications is 16th October 2026.(Please note that candidate screening and interviews may be completed prior to advertisement closure date.)

At Bending Spoons, we&#x2019;re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards. In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep&#x2014;designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other. For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That&#x2019;s our promise to such a candidate. A few examples of your responsibilities<ul><li>Design and improve data pipelines. Contribute to the design and evolution of data systems&#x2014;ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.</li><li>Ensure data correctness and scalability. Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.</li><li>Develop internal data products and tooling. Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.</li><li>Support platform-wide decision-making. Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.</li><li>Leverage AI to accelerate work and uncover insights. Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends. </li></ul>What we look for<ul><li>Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.</li><li>Drive. You&#x2019;re extremely ambitious in everything you do&#x2014;and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high&#x2014;and rising&#x2014;bar.</li><li>Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You&apos;re always happy to get your hands dirty to help your team. You&#x2019;re reliable, honest, and transparent.</li><li>Proficiency in English. You read, write, and speak proficiently in English. </li></ul>What we offer<ul><li>Incredibly talented, entrepreneurial teams. You&#x2019;ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.</li><li>An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential&#x2014;then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you&#x2019;ve got what it takes, you&#x2019;ll soon be playing an essential role in major projects, too.</li><li>All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.</li><li>Competitive pay and access to company equity at a discount. Typical annual salary offers range from &#xA3;85,797 to &#xA3;151,436 in London and from &#x20AC;66,065 to &#x20AC;107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to &#xA3;316,052 in London or &#x20AC;240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity. </li></ul>Commitment &amp; contract Permanent or fixed-term. Full-time or part-time. Location Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries. The selection process In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process. Some people hold back because they feel they lack experience or have an &#x201C;imperfect&#x201D; CV. If you like the role and believe you could excel over time, don&#x2019;t self-reject. All applications go through our careers page, which is the only way to be considered. If you pass our screening, you&#x2019;ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here. We set the bar high and won&#x2019;t extend an offer until we&#x2019;re confident we&#x2019;ve found the right candidate. This is why a job may remain open for months or be reposted several times. We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities&#x2014;please let us know through this form. Before you apply If you&#x2019;ve applied before but didn&apos;t receive an offer, we recommend waiting at least one year before applying again. Bending Spoons is a demanding environment. We&#x2019;re extremely ambitious and we hold ourselves&#x2014;and one another&#x2014;to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment. To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It&#x2019;s the best way to rapidly absorb our company culture and build trust with your new teammates. We&#x2019;ll support you with generous travel and accommodation assistance. After that, you&#x2019;re welcome to work from one of our offices, or remotely from approved countries&#x2014;depending on what we agree at the offer stage. If the role speaks to you and you&#x2019;re excited to give your best, we&#x2019;d love to hear from you. Apply now&#x2014;we can&#x2019;t wait to meet you.

Data scientist

Job Description adesso Belgium is looking for a data scientist (2) to support our customer in building an AI Agent Platform Data Foundations. Customer Info Our customer is an international, independent provider of indirect procurement services. Job Requirements Preferred start date: 1xASAP and 1x January 2027 Duration: 12 months Rate: depending on your location Time Zone: CET Your role Build the data and context layer that powers the customer&apos;s procurement AI agent platform &#x2014; canonical models, knowledge graph, semantic/taxonomy layer, and the retrieval and evaluation pipelines agents depend on. This is production infrastructure from day one, not a proof of concept: versioned, tested, and built for multiple tenants. You Will Work On <ul><li>Data products &amp; canonical modeling &#x2014; Design and deliver the first reference data products (Supplier Master, Spend Cube, Contract Register) end to end, from source ingestion through the canonical model.</li><li>Knowledge graph &amp; ontology &#x2014; Stand up and operate the platform and working graphs (ontology, reference data, tenant separation); own the graph-plus-vector retrieval design, deciding per source whether data is represented as entities/relationships, embeddings, or both.</li><li>Master data &amp; semantic layer &#x2014; Build matching rules, golden records, and stewardship processes for Suppliers, Contracts, and Categories; contribute to the business glossary and taxonomy-to-ontology mapping.</li><li>Extraction &amp; evaluation &#x2014; Build document-extraction pipelines (e.g., from SharePoint sources) with confidence scoring and human review for uncertain cases; build and maintain labelled evaluation datasets and accuracy benchmarks against agreed thresholds.</li><li>Connector framework &#x2014; Build source connectors (starting with Fabric data products and master data golden records) so new sources can be onboarded without modifying the graph core or query service.</li><li>Quality feedback loop &#x2014; Implement the mechanism routing agent overrides, failures, or low-confidence retrievals back to data owners so data products improve over time rather than decay.</li><li>Engineering practice &#x2014; Work exclusively in the GitHub/Azure environment; ship via pull request with CI (build, tests, security scan, evaluation fixtures); version all schemas, connector contracts, and extraction configs. </li></ul>Hard Skills Required Experience <ul><li>Demonstrated experience taking a knowledge graph system to production (not just prototyping) &#x2014; schema design, query performance, tenant/data isolation - Using Neo4J and Python</li><li>Strong background in semantic modeling: ontologies, taxonomies, business glossaries, and their relationship to graph and canonical data models.</li><li>Hands-on experience with semantic web standards and technologies including OWL/OWL2, RDF, RDFS, SPARQL, ontology lifecycle management, taxonomy alignment, and semantic reasoning.</li><li>Experience building data products and master-data pipelines (entity matching, golden-record consolidation, stewardship workflows).</li><li>Experience designing and implementing hybrid retrieval architectures combining graph databases (e.g., Neo4j) and vector databases to support semantic search, RAG, and AI agent workloads.</li><li>Experience with retrieval architectures combining graph and vector/embedding approaches.</li><li>Experience building and maintaining labelled evaluation datasets and measuring extraction/model accuracy against a threshold.</li><li>Proficiency with modern data/ML engineering practices: version control, CI/CD, automated testing, containerized deployment</li><li>Experience with Microsoft Fabric and SharePoint-based document extraction pipelines. </li></ul>Soft Skills <ul><li>Fluent in ENG</li><li>Open to travelling if needed (EU), this position is fully remote</li><li>Collaborative mindset, ideally with a proven similar work experience </li></ul> Why join adesso Belgium? <ul><li>Work in an international group with strong local expertise in Belgium.</li><li>Collaborate with cross-functional teams to deliver trusted, compliant, reusable data products.</li><li>Flexible freelance setup with the support of a growing adesso Belgium community.</li></ul>

Freelance Data Scientist with Ontology and Graph expertise

<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>

Senior Data Engineer

Job Title: Senior Data EngineerLocation: UK (Hybrid/Remote)Salary: &#xA3;60,000 - &#xA3;70,000 per annum + BenefitsOur professional services customer is embarking on an exciting digital transformation. Having recently designed and built a modern data platform with an external delivery partner, now ready to transition to full internal ownership. As such they seek a hands-on Senior Data Engineer to take technical ownership of this ecosystem, driving BAU, development, and future scaling. The RoleAs Senior Data Engineer, you will bridge the gap between external implementation consultancy and our internal business users. Initially, you will work closely with external partners to manage a seamless knowledge transfer. Post-transition, you will assume full responsibility for operating, supporting, and evolving the data platform.This is a highly collaborative, technical role where you will manage everything from data ingestion and pipeline orchestration to back-end database development and dimensional modelling. Key Responsibilities<ul><li>Technical Ownership: Take the reins of the newly implemented data platform, ensuring smooth production support, monitoring, security, and data reconciliation.</li><li>Data Pipeline Architecture Development: Operate and develop robust data ingestion pipelines, SQL-based transformations, and complex business logic.</li><li>Data Warehousing: Design, maintain, and optimise data warehouse structures, data cubes, and dimensional models to support business intelligence.</li><li>Collaboration &amp; Transition: Work pragmatically with our external data consultancy during the transition phase to ingest the existing solution and establish best practice internally.</li></ul> Skills &amp; Experience Required<ul><li>Core Data Engineering: Substantial hands-on experience designing, building, and operating production data warehouses or modern data platforms.</li><li>SQL and deep experience in back-end database development.</li><li>Data Architecture: A background in Data Warehousing, Data Cubes, and dimensional modelling.</li><li>Pragmatic Mindset: A proven ability to understand, take over, and support existing third-party solutions with a proactive, problem-solving attitude.</li></ul> Desirable Extras<ul><li>Familiarity with legal finance and practice-management platforms.</li><li>Experience with Microsoft Fabric development is highly desirable. Alternatively, you may have an Azure Data engineering background and can upskill/adapt to Fabric quickly.</li></ul> What We Offer<ul><li>The opportunity to shape and own a modern enterprise data estate from the ground up.</li><li>A supportive, forward-thinking environment with exposure to the latest Microsoft data technologies.</li><li>Competitive salary (&#xA3;60-70k) and benefits package to match your experience.</li><li>A remote first working environment with occasional travel to the West Midlands.</li></ul> For further information or a confidential discussion on the role contact Dave Flynn at Meraki Talent today: david.flynn@merakitalent.com / 01312972709

Role Profile Job title: Senior Data Engineer Reporting to: Head of Data and Analytics. Responsible for: Responsible for leading the design and delivery of scalable data integrations using Azure Logic Apps, and related Azure services. Ensures reliability, quality, and governance of integration workflows, and contributes to continuous improvement and DevOps deployment practices. Provides technical guidance and mentoring to junior team members to support their development and uphold best engineering standards. Based at: Remote with travel to Portsmouth and London as required (circa once per month). At least once a month in London for team face to face. Scope: This senior role covers all integration pipelines and automations that support data movement across Bell. You will design, implement, and optimise integration workflows using Azure services, Logic Apps And Microsoft Fabric. You will ensure governance, quality, and scalability in all integration processes. Purpose As a Senior Data Integration Engineer, you will work closely with the Data and Analytics Team, and other stakeholders across the business to ensure seamless data accessibility and usage across the organisation. Role <ul><li>Design, develop, and maintain scalable, robust data integrations using Azure Logic Apps, Azure Storage Accounts Azure API Management, Microsoft Fabric, and other Azure Services.</li><li>Implement integration patterns such as event-driven workflows, API-based integrations, and scheduled orchestrations.</li><li>Ensure high availability, scalability, and security of integration workflows.</li><li>Collaborate with IT, and system users to understand business requirements and ensure data accessibility and integrity.</li><li>Monitor integration solutions, troubleshoot failures, and proactively improve reliability.</li><li>Lead continuous improvement initiatives, driving adoption of best practices and emerging Azure integration technologies.</li><li>Support DevOps processes using Azure DevOps for CI/CD automation, version control, and deployment of Azure resources.</li><li>Provides technical guidance and mentoring to junior team members to support their development and uphold best engineering standards.</li><li>Ensure data security and compliance with industry standards and regulations, such as GDPR.</li><li>Document data processes and workflows for both technical and non-technical audiences. </li></ul>Person <ul><li>Bachelor&#x2019;s or Master&#x2019;s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.</li><li>5+ years of experience in data integration, automation, or data engineering roles.</li><li>3+ years hands-on experience using Azure Logic Apps (essential), but Power Automate experience will be considered.</li><li>Strong experience working with Azure Services such as Storage Accounts, Key Vault, Azure Functions, API Management.</li><li>Experience of developing Analytics solutions using Microsoft Fabric or comparable Azure PaaS services, Azure Data Factory, Synapse etc.</li><li>Experience building and deploying Azure solutions using Azure DevOps pipelines and ARM/Bicep/Terraform templates.</li><li>Proficiency with REST APIs, authentication methods (OAuth, Managed Identities), and system-to-system integration patterns.</li><li>Knowledge of data modelling techniques and best practices.</li><li>Proven record of mentoring and working closely with junior members of a team, with desire to take on future line management responsibilities.</li><li>Experience of using Purview and Power BI is also Desirable, but not essential.</li><li>Desirable certifications, DP-203 Azure Data Engineer, DP-203 Azure Data Engineer, DP-600 Fabric Analytics Engineer Associate, AZ-900 Azure Fundamentals and DP-900 Azure Data Fundamentals.</li><li>Strong problem-solving skills with attention to detail and the ability to troubleshoot complex data issues.</li><li>Excellent communication and collaboration skills, able to work across teams to deliver solutions that meet business needs. </li></ul>Privacy Protecting your privacy and the security of your data is a longstanding top priority for Bell Integration. Please consult our Privacy Notice (click here) to know more about how we collect, use and transfer the personal data of our candidates.

Working model: fully remote from the UK. Employment: official full-time employment through a Luxoft Legal Entity. Why Luxoft?We offer a comprehensive benefits package to support your health, wellbeing, and financial security:<ul><li>Private medical &amp; dental insurance (BUPA)</li><li>Life insurance (3x salary) &amp; income protection</li><li>25 days annual leave + 8 public holidays + paid sick leave</li><li>Pension scheme (AEGON UK)</li><li>Interest-free company loan</li></ul> We are seeking a Senior Semantic Engineer to design and implement semantic data frameworks that provide a shared structure for enterprise data. In this role you will focus on building and maintaining ontologies and knowledge graphs, enforcing semantic validation rules for data quality, and collaborating with AI teams to integrate these semantic structures into intelligent applications. The position is industry-agnostic, emphasizing strong semantic web expertise and the ability to apply it in any enterprise context. Responsibilities:Design &amp; Maintain OntologiesDevelop and manage enterprise ontologies using technologies such as OWL and RDF. Work closely with business and domain experts to model real-world concepts, define relationships between data, and create a common language across the organization.Build Enterprise Knowledge GraphsCreate and maintain scalable knowledge graphs that connect data from multiple sources into a unified, searchable structure. Configure graph databases, load semantic data, and ensure high performance and reliability.Develop Semantic Queries (SPARQL)Write and optimize SPARQL queries to enable efficient data discovery, integration, and analytics. Support advanced search capabilities and help teams extract valuable insights from connected data.Ensure Data Quality &amp; GovernanceDefine and implement validation rules using standards such as SHACL and OWL. Ensure data consistency, integrity, and compliance with established modelling standards and business rules.Integrate Semantic Technologies with Enterprise SystemsPartner with software engineers, architects, and data teams to embed ontologies and knowledge graphs into data pipelines, APIs, applications, and enterprise platforms.Collaborate Across TeamsWork with business stakeholders, data stewards, AI/ML engineers, and technical teams to align semantic models with business needs. Promote adoption of semantic technologies through documentation, training, and knowledge sharing.Enable AI &amp; Intelligent ApplicationsSupport the integration of knowledge graphs and ontologies with AI solutions, including LLM-powered applications and AI agents. Help improve contextual understanding, knowledge retrieval, reasoning capabilities, and overall AI performance.Drive Best Practices &amp; InnovationStay up to date with emerging semantic web technologies, industry standards, and best practices. Contribute to the evolution of the organization&apos;s semantic architecture and establish guidelines for effective knowledge management. Skills:<ul><li>Ontology Design &amp; Maintenance: Design, develop, and maintain ontologies (using OWL/RDF or similar).</li></ul> <ul><li>Semantic Web Proficiency: Strong knowledge of semantic web technologies and standards - specifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.</li></ul> <ul><li>Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.</li></ul> <ul><li>Data Modelling &amp; Integration Skills: A solid understanding of data modelling principles, data architecture, and integrating heterogeneous data sources. You should be capable of abstracting real-world entities into a semantic schema and mapping relational or NoSQL data to an ontology.</li></ul> <ul><li>Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)</li></ul> Nice-to-Have Skills:&#x2022; Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate data&#x2022; AI and LLM Integration: Experience working on projects that involve AI agents or large language models, where ontologies or knowledge graphs were used to improve AI performance.&#x2022; Enterprise System Integration: Proven experience integrating semantic technologies into existing enterprise systems or data platforms.&#x2022; Tools &amp; Platforms: Hands-on experience with ontology and knowledge graph tools is beneficial. Languages:<ul><li>English: C1 Advanced</li></ul> Luxoft is committed to fostering a diverse and inclusive workplace.We show fairness to all throughout our talent acquisition and management process.

Semantic AI/ML Architect

We&#x2019;re On the Beach! Since 2003, we&#x2019;ve been rewriting the rules of how people discover, book and experience their perfect getaway. What started as connecting people to short-haul beach holidays has evolved into something much bigger: premium beach destinations, long-haul adventures and vibrant city breaks and that&#x2019;s just the beginning of our story. Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we&#x2019;re accelerating delivering best-in-class technology, the ultimate holiday app, and experiences that keep our customers coming back for more. Ready to build the future of travel with us? We operate a remote-first working model, with colleagues meeting in our Manchester office one day every two weeks. Please note that all applicants must be eligible to work full-time in the UK. About The Role We&#x2019;re looking for a Data Engineering Manager to help lead and grow our data engineering capability, shaping the platforms and practices that power analytics, insight and AI-driven innovation across the business. This is a great opportunity for someone who enjoys developing people as much as solving complex technical and platform challenges. You&#x2019;ll play a key role in helping us modernise how data moves through the business, from event-driven cloud data through to more traditional operational data sources, while supporting a talented team of engineers to do their best work. What You&#x2019;ll Be Doing Day To Day As Data Engineering Manager, you&#x2019;ll help lead a team responsible for building reliable, scalable and trusted data products across On the Beach. The role will be varied, with your time broadly split across three key areas: helping us consume and shape event-driven data, working with more traditional data sources and patterns, and supporting the growth and development of the team. You&#x2019;ll work closely with engineers, analysts, product teams, commercial teams and senior stakeholders to make sure our data platforms are robust, well understood and genuinely useful to the business. You&#x2019;ll Be Responsible For <ul><li>Leading, supporting and developing a team of data engineers, creating an environment where people can grow, share knowledge and deliver high-quality work</li><li>Shaping our approach to both modern event-driven data and more traditional data sources, helping improve how we ingest, process, model and make data available across the business</li><li>Supporting the design and evolution of our data platform, including pipelines, orchestration, observability, lineage, governance and data quality</li><li>Partnering with teams across Product, Engineering, Analytics and Data to understand business needs and translate them into scalable, maintainable data solutions</li><li>Helping define and improve data engineering standards around testing, monitoring, documentation, deployment and reliability</li><li>Making pragmatic technical decisions that balance delivery, platform quality, long-term maintainability and business value</li><li>Encouraging a culture of technical curiosity, continuous improvement and strong engineering practice across the team </li></ul>We&#x2019;re looking for someone who enjoys both technical leadership and people development. You&#x2019;ll be comfortable working across engineering detail, platform direction and stakeholder conversations. You&#x2019;ll Likely Bring Experience In <ul><li>Building, operating or leading cloud-based data platforms and production-grade data workflows</li><li>Working with data pipelines, data modelling, orchestration and modern cloud data tools such as Databricks, BigQuery, Spark or similar</li><li>Event-driven or streaming data patterns, as well as more traditional operational, legacy or non-event-driven data environments</li><li>Designing reliable, observable and well-tested data products that can be trusted by both technical and non-technical users</li><li>Coaching, mentoring or supporting engineers, with an interest in helping people develop and progress</li><li>Communicating technical ideas clearly and making pragmatic decisions in fast-moving environments </li></ul>Nice to have <ul><li>Experience with lakehouse architecture, medallion-style workflows or enterprise data modelling</li><li>Exposure to data governance, catalogue tooling, lineage, data quality frameworks or access management</li><li>Experience using AI tools to support engineering productivity, automation or data quality</li><li>Experience helping teams move from batch-heavy or legacy patterns towards more real-time, event-driven or cloud-native approaches </li></ul>Our Benefits We might be biased but we think our colleagues are pretty great. They&apos;re the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow. That&apos;s why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues. These Include <ul><li>25 days holiday plus your birthday off</li><li>Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you&apos;re away on your On the Beach package holiday</li><li>Access to Learnerbly learning platform, plus workshops, courses and professional qualifications</li><li>Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support</li><li>Employee Assistance Programme and free access to counselling</li><li>Simplyhealth Optimise Health Plan</li><li>Company Sick Pay scheme</li><li>Regular wellbeing events</li><li>Gym discount</li><li>Share Incentive Plan (SIP)</li><li>Death in Service cover</li><li>Onsite subsidised coffee shop</li><li>The Sandbox (our very own bar)</li><li>Food and drink discounts across a number of venues in Manchester City Centre</li><li>Regular social events</li><li>Cycle to Work scheme </li></ul>What Success Looks Like Success in this role is about building data pipelines and products that teams can trust. You&#x2019;ll help improve the reliability, quality and performance of our data platform, making it easier for teams across On the Beach to access and use the data they need. You&#x2019;ll reduce friction for downstream analytics and AI use cases by creating well-structured, well-tested and well-documented data products. You&#x2019;ll also contribute to a strong engineering culture within the data team, where standards are clear, pipelines are observable, and continuous improvement is part of how we work. What To Expect From Our Interview Process We&#x2019;ll run a multiple stage interview process, one stage of which will be an in-person interview at our fabulous Aeroworks office in Manchester city centre. We want to make sure everybody has the opportunity to perform at their best. If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist. Ways of working Our full time hours are 37.5 per week, but we don&apos;t have rigid working hours so you can find the working pattern that&apos;s right for you. We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work. We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre. We operate a remote-first working model, with colleagues meeting in our Manchester office one day every two weeks. Please note that all applicants must be eligible to work full-time in the UK We&apos;re On the Beach! One of the UK&apos;s largest online package holiday specialists, with significant opportunities for growth.

Data Engineering Manager

Job Title: Senior Data EngineerJob Location :London, UK ( 2 days a week in client office, 3 days remote)Job Type :Permanent, Contract, FTC Job Description: Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQL Key Responsibilities:&#x2022; Architect and Develop: Contribute to the platform&#x2019;s architectural design and build integration, modelling, data persistence, and analytical systems.&#x2022; Data Pipelines: Implement, maintain, and test robust data pipelines.&#x2022; Metadata Management: Develop and manage metadata processes and tools.&#x2022; Performance Monitoring: Ensure the stability and performance of data pipelines.&#x2022; Data Quality: Implement tools for data curation, metadata management, and quality assurance.&#x2022; Collaboration: Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills:&#x2022; Programming: 5+ years of experience in Python/Java.&#x2022; Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).&#x2022; Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.&#x2022; Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.&#x2022; Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.&#x2022; Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.&#x2022; RDBMS: Knowledge of PostgreSQL is a plus.&#x2022; Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.

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

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<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>
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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>
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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

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Process Forward Deployed Engineer based in Australia. This is a high-impact engineering role focused on bringing AI-powered process automation into enterprise production environments. You&#x2019;ll own customer deployments from initial workflow setup through measurable improvement and successful handoff. The role combines hands-on software engineering, distributed systems, AI agents, workflow orchestration, and customer-facing technical leadership. You&#x2019;ll work across Java services and React interfaces while configuring platforms, debugging integrations, and developing custom solutions. Your work will directly influence product evolution, deployment practices, and reusable engineering patterns. The environment is global, remote, collaborative, and designed for engineers who are comfortable operating with significant autonomy and ambiguity. Accountabilities <ul><li>Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results. </li><li>Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period. </li><li>Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments. </li><li>Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks. </li><li>Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements. </li><li>Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities. </li><li>Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations. </li><li>Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff. </li><li>Contribute engineering insights from customer deployments directly back into product development and platform evolution. </li><li>Travel occasionally when required to support customer or team engagements. </li></ul>Requirements <ul><li>Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale. </li><li>Strong software engineering capabilities, including the ability to debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems. </li><li>Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks. </li><li>Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs. </li><li>Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders. </li><li>Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences. </li><li>Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices. </li><li>Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus. </li><li>Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous. </li><li>Production experience with agentic systems or AI-integrated workflows is a plus. </li><li>Contributions to shared platforms or open-source projects are valued. </li><li>Ability and willingness to use the product as part of the role. </li><li>Willingness to travel occasionally as required. </li></ul>Benefits <ul><li>Fully remote and flexible working environment. </li><li>Home office budget and support for coworking spaces. </li><li>Flexible time off. </li><li>Competitive, location-based compensation with transparent salary structures. </li><li>Equity through a Virtual Stock Option Plan where applicable. </li><li>Locally tailored healthcare benefits. </li><li>Global mental wellbeing support through Modern Health. </li><li>Live Well Lifestyle Spending Account supporting health, family, personal interests, experiences, and financial wellbeing, launching in 2026 and scaling to &#x20AC;1,000 annually from 2027. </li><li>Retirement and pension plans, often including company contributions. </li><li>Life and disability insurance where applicable. </li><li>Annual learning and development budget of up to $/&#x20AC;/&#xA3;1,000 for courses, certifications, books, and other self-directed learning. </li><li>Annual company kickoff events, team offsites, local gatherings, and connection budgets that support meaningful in-person collaboration. </li><li>Inclusive global environment with opportunities to work alongside diverse teams and cultures. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. 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.

AI Process Forward Deployed Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Warehouse Engineer based in Australia. This role offers the opportunity to shape the data infrastructure supporting a high-growth technology platform focused on online security and fraud detection. You will design and optimize scalable data warehouses, reliable pipelines, and modern ELT processes that enable analytics and data-driven decision-making. Working closely with data scientists, analysts, and engineers, you will transform complex data into trusted and actionable insights. The position combines hands-on engineering with opportunities to improve performance, reliability, cost efficiency, and developer productivity. You will work with modern cloud technologies including ClickHouse, Redshift, AWS, Kafka, dbt, and Prefect. This is a strong opportunity for an autonomous data engineer who enjoys solving complex problems in a globally distributed, fully remote environment. Accountabilities <ul><li>Architect, build, and maintain scalable, high-performance data warehouse solutions that support analytics and operational needs.</li><li>Develop reliable, well-documented data pipelines and ELT processes while maintaining strong standards for data quality and consistency.</li><li>Optimize data warehouse performance through query optimization, partitioning, indexing, and other performance-tuning techniques.</li><li>Partner with data analysts and data scientists to transform raw data into actionable analytics and support machine learning initiatives.</li><li>Monitor, troubleshoot, and continuously improve data warehouse infrastructure while balancing performance, reliability, and cost efficiency.</li><li>Establish and promote best practices for clean, well-structured, reliable, and accessible data.</li><li>Work with modern cloud-based data warehouses such as ClickHouse and integrate data platforms with other cloud services.</li><li>Contribute to developer-facing data tools and solutions that empower engineering and other technical teams.</li><li>Support data transformation and modeling initiatives using tools such as dbt and SQL.</li><li>Contribute to automation, testing, version control, code reviews, and other software engineering practices across data systems.</li><li>Help improve the scalability, maintainability, and operational efficiency of the overall data platform. </li></ul>Requirements <ul><li>Extensive professional experience designing, implementing, and optimizing data warehouses in cloud environments such as AWS or GCP.</li><li>Strong hands-on expertise with data modeling and transformation tools, particularly dbt.</li><li>Excellent SQL skills and experience with modern columnar or cloud data warehouse technologies such as ClickHouse, Databricks, BigQuery, Snowflake, or Redshift.</li><li>Experience developing and managing data pipelines using orchestration tools such as Prefect or Airflow.</li><li>Solid understanding of data engineering principles, warehouse architecture, transformation, and data quality.</li><li>Strong software engineering fundamentals, including version control, code reviews, testing, automation, and maintainable development practices.</li><li>Experience working collaboratively with data scientists, analysts, engineers, and other cross-functional stakeholders.</li><li>Strong English communication skills for effective collaboration within a globally distributed remote team.</li><li>High degree of ownership, autonomy, and accountability, with the ability to work effectively in ambiguous environments.</li><li>Strong analytical and problem-solving skills, with a practical approach to troubleshooting and performance optimization.</li><li>Familiarity with business intelligence and visualization tools such as Apache Superset, Sigma, Tableau, or Looker is a plus.</li><li>Experience with infrastructure-as-code tools such as Terraform and a DevOps-oriented mindset is desirable.</li><li>Scripting or automation experience with Bash, Python, or Go is an advantage.</li><li>Experience with technologies such as Kafka, AWS, Terraform, and modern data visualization platforms is beneficial. </li></ul>Benefits <ul><li>Fully remote work arrangement within eligible hiring locations.</li><li>Opportunity to work on large-scale data infrastructure supporting a technology platform focused on online security and fraud detection.</li><li>Exposure to a modern technology stack including ClickHouse, Redshift, Confluent Kafka, dbt, Prefect, AWS, Terraform, Apache Superset, and Sigma.</li><li>Opportunity to collaborate with data scientists, analysts, engineers, and globally distributed technical teams.</li><li>High level of ownership and autonomy in a data engineering environment.</li><li>Opportunity to contribute to developer-facing tools and scalable data platform initiatives.</li><li>US-based compensation range of $152,000&#x2013;$205,000; compensation may vary by hiring location and is not directly applicable to all locations.</li><li>Fully remote international environment with team members distributed across multiple countries and time zones.</li><li>Visa sponsorship is not provided; candidates must be authorized to work from their home location.</li><li>Specific India-based salary, healthcare, retirement, paid time off, and other benefits were not specified in the source description. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. 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.

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