Senior Data Engineer (Microsoft Fabric / Azure)Location: RemoteEmployment Type: Full-TimeAbout the OpportunityWe&apos;re partnering with an established organization undergoing a significant transformation of its enterprise data infrastructure. They&apos;re looking for an experienced Senior Data Engineer to take ownership of key data modernization initiatives, including a major migration from Azure Synapse to Microsoft Fabric.This is an excellent opportunity for a hands-on data engineer who enjoys working at the architectural level, driving technical decisions, and helping shape an organization&apos;s long-term data strategy.You&apos;ll play a key role in designing scalable data solutions, implementing governance frameworks, and mentoring junior engineers while working closely with technical leadership and business stakeholders. Key Responsibilities<ul><li>Lead key components of the organization&apos;s Azure Synapse to Microsoft Fabric migration, owning architecture, design, and implementation decisions.</li><li>Design, develop, and manage Microsoft Fabric environments, including Lakehouses, Warehouses, Notebooks, and Data Pipelines.</li><li>Establish data governance, cataloging, and architecture standards to improve data quality, consistency, and accessibility.</li><li>Develop and optimize scalable data pipelines using SQL, Python, and Azure data technologies.</li><li>Support integrations across enterprise platforms, including ERP, HRIS, financial, and asset management systems.</li><li>Collaborate with IT leadership and business stakeholders to define technical requirements and data architecture best practices.</li><li>Troubleshoot existing data pipelines and identify opportunities to improve performance and scalability.</li><li>Mentor junior data engineers and provide technical guidance on Microsoft Fabric and data migration methodologies.</li></ul> What We&apos;re Looking For<ul><li>5&#x2013;8 years of experience in data engineering, ideally with experience owning complex data platform initiatives.</li><li>Strong hands-on experience with Microsoft Fabric, including workspace architecture, Lakehouses, Warehouses, and Pipelines.</li><li>Demonstrated experience migrating workloads from Azure Synapse and Azure Data Factory to Microsoft Fabric.</li><li>Advanced proficiency in SQL and Python.</li><li>Experience designing and implementing data governance, cataloging, and data architecture frameworks.</li><li>Proven ability to lead data platform migrations from initial planning through implementation.</li><li>An applicable Microsoft Certified: Associate certification is required.</li></ul> Why Consider This Opportunity?<ul><li>Architectural Ownership: Take the lead on significant data platform modernization initiatives rather than simply executing predefined tasks.</li><li>Modern Technology: Work extensively with Microsoft Fabric, Azure, Python, and enterprise data architecture.</li><li>Technical Leadership: Influence architectural decisions and mentor other engineers.</li><li>Business Impact: Help build the foundation of a modern enterprise data ecosystem.</li><li>Established Organization: Join a long-standing business investing in the modernization of its technology infrastructure.</li></ul> Interested?If you&apos;re an experienced Data Engineer with strong Microsoft Fabric expertise and a background in enterprise data migrations, we&apos;d love to hear from you.

Senior Data Engineer

Location: United StatesWorkplace: RemoteEmployment Type: Full-TimeExperience: 8+ years in data engineering, ETL/ELT, and data warehousing Core Areas: Data Engineering, ETL/ELT Pipelines, Databricks, PySpark, Python, Snowflake, Healthcare Data Integration, Data Warehousing Compensation: $140,000&#x2013;$150,000 About the Role The Sr. Data Engineer, Onboarding is responsible for designing, developing, and maintaining scalable data pipelines that integrate customer healthcare data into a cloud-based analytics and operational platform. This hands-on engineering position focuses on ETL/ELT development, healthcare data ingestion, data transformation, legacy system migration, and automation that improves customer onboarding efficiency, data quality, and processing reliability. The role uses Databricks, PySpark, Python, Snowflake, and advanced SQL to process healthcare claims, remittance advice, and electronic medical record (EMR) data. Responsibilities include supporting healthcare revenue cycle management (RCM) and compliance workflows, collaborating with Implementation, Product, Support, and IT teams, resolving complex data integration issues, and mentoring junior engineers. What You&apos;ll Do <ul><li>Design, build, optimize, and maintain scalable ETL/ELT data pipelines using Databricks, PySpark, and Python, following Bronze, Silver, and Gold lakehouse architecture patterns.</li><li>Develop healthcare data ingestion and transformation workflows for X12 837I/P/D institutional, professional, and dental claims, 835 electronic remittance advice, and EMR data.</li><li>Parse, normalize, validate, and map customer healthcare datasets to the platform&apos;s data model, ensuring accurate and reliable downstream analytics and operational processing.</li><li>Design and optimize Snowflake data models, SQL transformations, and data warehousing processes to support reporting, analytics, and data accessibility.</li><li>Convert, migrate, and integrate data from legacy databases and systems, including Microsoft SQL Server, into the modern cloud data platform.</li><li>Build reusable Python, PySpark, and SQL frameworks, engineering utilities, and automated workflows that reduce manual onboarding tasks and improve processing efficiency.</li><li>Implement automated data validation, quality checks, reconciliation processes, and discrepancy resolution to maintain accuracy and data integrity.</li><li>Monitor and troubleshoot customer data feeds, ingestion pipelines, and file processing workflows after implementation, using operational metrics to identify reliability, performance, automation, and cost optimization opportunities.</li><li>Integrate and validate EMR data from systems such as Epic, Cerner, Meditech, and Athenahealth alongside claims data to enable comprehensive healthcare reporting.</li><li>Partner with Implementation, Product, Support, and IT teams to define data requirements, clarify mapping specifications, coordinate delivery priorities, and support customer onboarding.</li><li>Investigate and resolve escalated data ingestion, transformation, and integration issues through root-cause analysis and durable engineering fixes.</li><li>Track onboarding deliverables using project management platforms such as Monday.com, identify risks early, and communicate progress to internal stakeholders.</li><li>Maintain clear technical documentation covering data pipelines, transformation logic, data flows, operational procedures, and runbooks.</li><li>Coordinate the transition of completed onboarding workflows to Support teams, providing the documentation required for ongoing operations and troubleshooting.</li><li>Mentor less experienced data engineers, conduct code reviews, and share engineering practices and technical knowledge.</li><li>Maintain appropriate data security, regulatory compliance, and information integrity standards, including HIPAA requirements.</li><li>Perform additional related responsibilities as needed.</li></ul> Qualifications Required Experience <ul><li>8+ years of professional experience in data engineering, ETL/ELT pipeline development, and data warehousing.</li><li>3+ years of programming experience using Python and advanced SQL.</li><li>2+ years of hands-on experience with Databricks, including Delta Lake, notebooks, jobs, workflows, and PySpark.</li><li>Practical experience with Snowflake, including data modeling, SQL transformations, and data warehouse processes.</li><li>2+ years of experience in the healthcare industry, with a solid understanding of healthcare billing, claims processing, reimbursement models, and the revenue cycle.</li><li>Experience working with cloud infrastructure and data services on AWS or Microsoft Azure.</li><li>Experience working with SaaS applications and healthcare revenue cycle processes.</li></ul> Required Skills <ul><li>Strong technical capabilities in designing, developing, maintaining, and troubleshooting ETL/ELT pipelines and cloud-based data processing workflows.</li><li>Hands-on proficiency with Python, PySpark, Databricks, Snowflake, and advanced SQL for data ingestion, transformation, modeling, and automation.</li><li>Working knowledge of Databricks Delta Lake architecture, notebook development, scheduled jobs, and workflow orchestration.</li><li>Ability to develop and optimize SQL-based data models, warehouse transformations, and reliable data processing solutions.</li><li>Understanding of healthcare revenue cycle management (RCM), including billing processes, the claims lifecycle, and reimbursement.</li><li>Working knowledge of healthcare EDI (X12) transactions, including 837 claims and 835 remittance data used in billing and payment processing.</li><li>Ability to ingest, transform, map, and validate healthcare claims and electronic medical record data across integrated systems.</li><li>Knowledge of EMR data integration requirements and healthcare platforms such as Epic, Cerner, Meditech, and Athenahealth.</li><li>Ability to identify and resolve data quality issues through automated validation, reconciliation, monitoring, and root-cause analysis.</li><li>Understanding of data integrity, security practices, and HIPAA-related regulatory requirements.</li><li>Strong analytical, problem-solving, and troubleshooting skills with close attention to technical detail.</li><li>Effective written and verbal communication with technical and non-technical colleagues.</li><li>Collaborative working style and the ability to manage engineering responsibilities in a fast-paced environment.</li></ul> Education <ul><li>Bachelor&apos;s degree in Computer Science, Data Science, Health Informatics, Information Systems, or a related field, or equivalent professional experience.</li></ul> Preferred Qualifications <ul><li>Healthcare industry experience specifically involving revenue cycle management (RCM).</li></ul> Benefits <ul><li>Medical, dental, and vision insurance coverage.</li><li>401(k) retirement plan with company matching contributions.</li><li>Unlimited vacation policy.</li><li>Professional development, career advancement, and on-demand learning opportunities.</li><li>Peer-nominated employee awards and recognition programs.</li><li>Remote employee activities, including virtual cooking classes, yoga sessions, and mixology classes.</li></ul>

Data Engineer (Remote)

About GitHub GitHub is the world&#x2019;s leading platform for agentic software development &#x2014; powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview GitHub is changing the way the world builds secure software and we want you to help change the way we secure GitHub. GitHub&#x2019;s Security Operations team detects, responds, and investigates sophisticated threat activity targeting GitHub and our users. We&apos;re looking for an experienced data engineer to help define and maintain the infrastructure, data, and policies that we rely on. In this role, you will design, build, and maintain scalable, reliable data infrastructure across Azure using technologies including Terraform, Kusto, and Airflow. You will own foundational capabilities such as data pipelines, compute clusters, tables, and data models that enable security monitoring, detection, threat hunting, incident response, and investigations. You will also help define and maintain security telemetry policy, ensuring that critical security data is available, trustworthy, appropriately governed, and useful throughout its lifecycle. This is an opportunity to join a high-impact, highly collaborative Security organization that helps drive secure outcomes for GitHub, our customers, and the broader open source software community. If you have deep experience building cloud-scale data platforms, can lead strategically across organizational boundaries, and are motivated to solve complex security data and infrastructure challenges, we want to hear from you! Responsibilities <ul><li>Design, build, and maintain secure, reliable, and scalable data infrastructure in Azure, and AWS, including Terraform-managed resources, Kusto clusters and tables, and Airflow-orchestrated ETL pipelines </li><li>Lead cross-organizational initiatives to onboard new security telemetry, and identify and close visibility gaps </li><li>Establish and advance data governance practices for security telemetry, including highly sensitive data sources </li><li>Define and drive adoption of security telemetry policies and standards, partnering with Security teams and service owners to identify and remediate gaps </li><li>Provide technical leadership to projects focused on the data platforms and infrastructure that supporting security monitoring, threat detection, hunting, investigations, and incident response </li></ul>Qualifications Required Qualifications: <ul><li>10+ years experience in security analysis, security research, cyber security, security engineering, or relevant area</li><ul><li>o OR Associate&apos;s Degree AND 9+ years experience in security analysis, security research, cyber security, security engineering, or relevant area </li><li>o OR Bachelor&apos;s Degree AND 8+ years experience in security analysis, security research, cyber security, security engineering, or relevant area </li><li>o OR Master&apos;s Degree AND 6+ years experience in security analysis, security research, cyber security, security engineering, or relevant area </li><li>o OR Doctorate AND 4+ years experience in security analysis, security research, cyber security, security engineering, or relevant area </li><li>o OR equivalent experience. </li></ul><li>5+ years of hands-on experience building and maintaining cloud scale Azure infrastructure </li><li>3+ years of deep experience with Kusto and KQL, Apache Airflow, Terraform, and Python in production environments </li><li>2+ years experience leading complex initiatives across organizational boundaries , aligning stakeholders, and translating operational requirements into durable technical solutions. </li></ul>Preferred Qualifications: <ul><li>Experience collaborating with Security Operations and Engineering teams around security telemetry requirements </li><li>Experience supporting Security Operations disciplines such as Threat Detection, Incident Response, Threat Intel, and/or Red Teaming </li><li>Experience leveraging AI workflows, where appropriate, to drive improved security outcomes </li><li>Experience designing near-real-time telemetry ingestion using Azure Event Hubs or comparable technologies </li><li>Experience establishing observability, reliability, data-quality, and cost-management practices for data platforms </li></ul>GitHub values <ul><li>Customer-obsessed</li><li>Ship to learn</li><li>Growth mindset</li><li>Own the outcome</li><li>Better together</li><li>Diverse and inclusive </li></ul>Manager fundamentals <ul><li>Model</li><li>Coach</li><li>Care </li></ul>Leadership principles <ul><li>Create clarity</li><li>Generate energy</li><li>Deliver success </li></ul>Who We Are GitHub is the world&#x2019;s leading AI-powered developer platform with 150 million developers and counting. We&#x2019;re also home to the biggest open-source community on earth (and 99% of the world&#x2019;s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We&#x2019;re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are&#x2014;because we know that people flourish when they can work on their own terms. Join us, and let&#x2019;s change the world, together. Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don&apos;t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there&apos;s any way we can make the interview process better for you; we&apos;re happy to accommodate!

Staff Security Data Engineer

What We Offer Join Novant Health&apos;s Enterprise Analytics team and help build scalable data solutions that drive smarter healthcare decisions. As an Advanced Analytics Engineer Senior, you will design, develop, and support enterprise data products that transform complex data into trusted, analytics-ready assets for reporting, dashboards, and advanced analytics. Schedule: 8:00AM - 5:00PM Location: Remote Department: SPX Governance Key Responsibilities <ul><li>Design, build, test, and maintain scalable data products and dimensional data models. </li><li>Develop curated datasets, data marts, and reusable analytics solutions. </li><li>Optimize data for Power BI and other reporting and analytics platforms. </li><li>Collaborate with business and technical teams to deliver high-quality data solutions. </li><li>Ensure data quality, governance, security, performance, and reliability. </li><li>Mentor junior team members and promote data engineering best practices. </li></ul>What You&apos;ll Bring <ul><li>Experience with data warehousing, dimensional modeling, and data engineering. </li><li>Strong SQL skills and experience with cloud-based data platforms. </li><li>Hands-on experience with Databricks, Unity Catalog, and Power BI preferred. </li><li>Passion for solving complex data challenges and delivering business value. </li></ul>What We&apos;re Looking For <ul><li>Education: 4 Year / Bachelors Degree, required. Bachelor&#x2019;s degree in computer science or information systems required. In lieu of a bachelor&#x2019;s degree, four (4) years of additional relevant experience, beyond the minimum experience requirement, will be considered. Graduate Degree, preferred. Master&#x2019;s degree in computer science or information systems</li><li>Experience: Minimum five years of analytics engineering, data engineering, data warehousing, analytics development, and/or business intelligence experience, required.</li><li>Additional Skills/Requirements (required):</li><ul><li>Proficiency in SQL, Python, PySpark, Spark SQL, Delta Lake, and Databricks for data transformation and analytics engineering</li><li>Strong knowledge of dimensional modeling, including facts, dimensions, conformed dimensions, bridges, aggregates, surrogate keys, slowly changing dimensions, and data grain</li><li>Experience developing curated data marts and reusable analytics assets using medallion architecture patterns</li><li>Experience building modular, maintainable transformation code for batch and incremental processing</li><li>Experience with orchestration and scheduling technologies such as Apache Airflow, Databricks Workflows, or similar tools, including dependency management and exception handling</li><li>Experience with Azure DevOps, Git, pull requests, code review, and CI/CD across development, UAT, and production</li><li>Understanding of data quality engineering, including unit testing, reconciliation, referential-integrity validation, and regression testing</li><li>Experience applying Databricks Unity Catalog, lineage, metadata, and secure access patterns to data products</li><li>Understanding of PHI/PII protection and healthcare privacy and security requirements</li><li>Ability to translate clinical, operational, and financial requirements into models, transformation rules, and acceptance criteria</li><li>Strong documentation, problem-solving, and communication skills</li></ul><li>Additional Skills/Requirements (preferred):</li><ul><li>Experience with Epic source data, including Clarity and Caboodle, and understanding of healthcare workflows and data domains</li><li>Experience supporting Power BI semantic models and DirectQuery performance</li><li>Experience with Delta Live Tables, APIs, or Azure Data Lake Storage</li><li>Experience with healthcare interoperability formats and standards such as HL7, FHIR, JSON, XML, and Parquet</li><li>Experience with dbt or comparable analytics engineering transformation and testing frameworks </li></ul></ul>Why Choose Novant Health? At Novant Health, we believe remarkable care starts with compassion for our patients, our communities, and each other. We value belonging, courage, personal growth, and teamwork, creating a space where everyone is respected, supported, and safe to show up as their full selves. Job Opening ID 196703

Advanced Analytics Engineer Senior

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

Senior Data Engineer II

Position: Senior Data EngineerJob Location: Remote, US Job Type: Full TimeImmediate Interview Position Summary:We are looking for an experienced Senior Data Engineer to design, build, and maintain scalabledata platforms and modern data pipelines. The ideal candidate will have strong expertise in SQL,Snowflake, and DBT Cloud, along with hands-on experience across data orchestration, ingestion,governance, DevOps, and Infrastructure as Code. Basic Python skills, along with SnowPro and dbtCloud certifications are strongly preferred.The role involves working closely with data engineering, analytics, technology, and business teamsto develop reliable, scalable, and well-governed data solutions. Key Responsibilities:<ul><li>Design, develop, and maintain scalable, high-performance data pipelines and data platforms using Snowflake.</li><li>Develop efficient data transformation workflows using dbt Cloud (and dbt Core where applicable), following modular, reusable, and maintainable development practices.</li><li>Build and maintain data ingestion pipelines using dbt Cloud, working with source systems including Snowflake and PostgreSQL.</li><li>Write complex, optimized, production-grade SQL for data transformation, analysis, and processing; use basic Python scripting for automation tasks where helpful.</li><li>Implement data governance and cataloging practices using tools such as Alation and Collibra.</li><li>Follow software engineering and DevOps best practices using Git and GitHub for version control and collaboration.</li><li>Containerize applications and data workloads using Docker where required.</li><li>Develop and maintain infrastructure using Terraform and Infrastructure as Code (IaC) principles.</li><li>Implement monitoring, alerting, and operational controls using Datadog and CloudWatch.</li><li>Troubleshoot data pipeline, performance, and production issues and drive them to resolution.</li><li>Ensure pipelines are reliable, secure, and optimized for performance and cost.</li><li>Collaborate with cross-functional teams to translate business requirements into robust data engineering solutions.</li><li>Participate in code reviews, technical discussions, architecture decisions, and continuous improvement initiatives.</li><li>Mentor junior and mid-level data engineers and contribute to engineering best practices and standards.</li><li>Exposure to Workato (including Workato AI) is a plus but not required.</li></ul> Experience:<ul><li>6+ years of experience in data engineering, data platforms, or a related technology domain.</li><li>Expert-level SQL, with strong hands-on experience in PostgreSQL in addition to cloud data warehouses.</li><li>Strong practical experience with Snowflake (Databricks a plus).</li><li>Basic Python skills &#x2014; should have, for scripting and automation.</li><li>SnowPro Certification (Core or Advanced) required or strongly preferred.</li><li>DBT Cloud / dbt Certification required or strongly preferred.</li><li>Experience with modern ELT/ETL architecture and cloud-based data platforms.</li><li>Hands-on experience with orchestration tools, data ingestion platforms, and data governance frameworks.</li><li>Good understanding of CI/CD, version control, containerization, Infrastructure as Code, and monitoring/observability.</li><li>Workato experience is a nice-to-have, not a core requirement.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul> Education:<ul><li>Bachelor&#x2019;s degree or master&#x2019;s in computer science, Engineering, Software Engineering or a relevant field</li></ul> About Gemini Solutions:Gemini Solutions is a global IT consulting firm specializing in banking and financial services. Founded and owned by alumni of IIT Delhi and IIIT Hyderabad, Gemini has grown from four people to more than 1,000 employees across six locations in India, the U.S., Canada, and the Middle East.Our teams bring expertise across the software development lifecycle, including application development, quality assurance, DevOps, infrastructure, and managed services. We have expertise across more than 60 technologies and have delivered globally distributed projects spanning application development, legacy-to-cloud migrations, technology transitions, capacity planning, infrastructure support, and end-to-end implementations.

Location: Arlington, VA Salary: $100,000.00 USD Annually - $160,000.00 USD Annually Description Company: Supporting the Federal Gov Positions: Mid, senior and lead Databricks openings REMOTE MUST BE US CITIZEN. MUST BE PROCESSED FOR E PUBLIC TRUST CLEARANCE Benefits: Healthcare and 401k NOTE; FOR A QUICKER RESPONSE, PLEASE APPLY DIRECT TO Ckelly@judge.com and put &#x201C;Databricks&#x201D; on the subject line. Thank you! Job Description Summary Builds and tests Databricks pipelines, transformations, migration workflows, quality controls, APIs, curated datasets, reconciliation routines, and reusable data products supporting a large federal human-capital data modernization program. What You Will Do <ul><li> Build and maintain Databricks ingestion, transformation, orchestration, migration, and data-processing pipelines.</li><li> Develop scalable ETL/ELT solutions using Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake.</li><li> Implement source-to-target mappings, transformation rules, business logic, data contracts, metadata, lineage, and data-quality requirements.</li><li> Develop migrated data feeds, APIs, curated datasets, reporting layers, and reusable data products.</li><li> Create reconciliation routines and support source-to-target validation, exception analysis, and defect resolution.</li><li> Build unit, integration, regression, performance, and data-quality tests and document technical results.</li><li> Support Git-based development, CI/CD, release management, deployment, monitoring, troubleshooting, and stabilization.</li><li> Analyze and resolve job failures, cluster-performance issues, pipeline bottlenecks, schema changes, and data-quality problems.</li><li> Collaborate with data architects, engineering leads, integration engineers, profiling analysts, testers, security specialists, governance leads, and source-system teams.</li><li> Document reusable code, technical patterns, runbooks, troubleshooting procedures, and lessons learned for later modernization waves.</li><li> Participate in Agile ceremonies, backlog refinement, sprint planning, demonstrations, and technical reviews. </li></ul>What You Will Need <ul><li> Bachelor&#x2019;s degree in computer science, data engineering, information systems, engineering, analytics, or a related field.</li><li> Minimum 4 years of experience in data engineering, software development, ETL/ELT, cloud analytics, or a related technical discipline.</li><li> Hands-on experience with Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, and workflow orchestration.</li><li> Experience building, testing, and maintaining batch data pipelines, transformations, and curated data layers.</li><li> Experience with enterprise data migration, source-to-target mapping, reconciliation, validation, and data-quality controls.</li><li> Familiarity with Git, CI/CD, automated testing, deployment, monitoring, logging, and troubleshooting.</li><li> Strong analytical, problem-solving, documentation, collaboration, and communication skills.</li><li> Ability to obtain and maintain a Federal Public Trust. </li></ul>Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements. By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively &quot;Judge&quot;) to such phone number regarding job opportunities, your job application, and for other related purposes. Message &amp; data rates apply and message frequency may vary. Consistent with Judge&apos;s Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help. Contact: ckelly@judge.com This job and many more are available through The Judge Group. Find us on the web at www.judge.com

Databricks Data Engineer (1157916)

Job Title: Senior Data EngineerLocation: Remote Security Clearance: Active DoD Secret Clearance Omni Federal, founded in 2017 and headquartered in Washington, DC, is a highly specialized software solutions provider with a robust presence in key locations across the United States, including Boston, MA, Colorado Springs, CO, San Antonio, TX, and St. Louis, MO. Born out of the Department of Defense&apos;s software factory ecosystem, Omni has rapidly distinguished itself by delivering both mission-critical and enterprise solutions that enhance the technological capabilities of the federal government. With a focus on areas such as Command and Control, Cybersecurity, Space, Geospatial, and Modeling &amp; Simulation, Omni leverages cutting-edge commercial technology tailored to government objectives, improving mission performance and delivering transformative outcomes for the Department of Defense (DoD), Intelligence Community (IC), and their end-users. The company&apos;s innovative approach is backed by its Omni Labs and SBIR Innovation centers, where they develop advanced platforms and tools in data mesh, secure connectivity, and intelligent automation. Why Omni?<ul><li>Environment of Autonomy</li><li>Innovative Commercial Approach</li><li>People over process</li></ul> We are seeking an experienced Senior Data Engineer to support the Air Force to help in developing and operating modernized applications that are used daily by the warfighter. This is an exciting new initiative where the Air Force is mirroring Silicon Valley processes and capabilities to quickly deploy new capabilities. Candidates must be passionate, energized, and excited to work on modern architectures and solve challenging problems for our clients. Position Description (what you will do)<ul><li>Design, build, and operate streaming (Debezium change-data-capture into Amazon MSK) and batch (Apache Spark via AWS EMR) data pipelines that rapidly onboard new data sources into the program&#x2019;s Apache Iceberg-based data lakehouse, from initial ingestion through validation and production release.</li><li>Corroborate newly onboarded data against existing data lakehouse holdings to validate quality, consistency, and lineage before it is exposed to downstream consumers.</li><li>Develop and maintain the metadata, cataloging (AWS Glue as the Iceberg data catalog), and API Gateway integrations that make program data easily discoverable and consumable via Amazon Athena, Spark, and other Iceberg-compatible tools by downstream mission partners and vendors through the enterprise data mesh.</li><li>Own assigned technical tasking independently &#x2014; translate well-articulated requirements into a working solution.</li><li>Engage directly with data providers and data consumers to understand the operational context behind each data source and translate that context accurately for both technical and non-technical audiences.</li><li>Participate in an agile (Kanban/Scrum) delivery team, contributing to sprint planning, technical design discussions, and pipeline/code reviews.</li><li>Maintain pipeline and infrastructure code as Infrastructure-as-Code (Terraform) and follow established DevSecOps build and deployment pipeline processes.</li><li>Support data governance, quality, and auditability practices in accordance with Government-approved data standards for the platform.</li></ul> Requirements:<ul><li>8+ years of professional data engineering experience, including hands-on design and operation of production data pipelines.</li><li>Demonstrated experience with streaming and batch data pipeline technologies, particularly Debezium (change-data-capture), Amazon MSK (Kafka), Apache Spark (AWS EMR), and Apache Airflow.</li><li>Strong proficiency in Python and SQL, with experience integrating and validating data from multiple heterogeneous sources.</li><li>Experience with AWS data services (e.g., S3, Glue, Aurora) and containerized environments (Kubernetes), delivered through DevSecOps/CI-CD pipelines.</li><li>Demonstrated ability to work independently against well-defined tasking with minimal oversight, and to communicate effectively with both technical and non-technical stakeholders, including data providers and consumers.</li></ul> Nice to Have:<ul><li>Experience supporting DoD or Intelligence Community programs, particularly Platform One or other DoD software factory environments.</li><li>Familiarity with container security and software supply chain concepts (SBOMs, vulnerability scoring and attestation).</li><li>Experience with the Apache Iceberg table format or similar open table formats (e.g., Delta Lake, Hudi) for lakehouse architectures.</li><li>Experience with event-driven architecture (e.g., AWS EventBridge) and Infrastructure-as-Code (Terraform).</li><li>Experience designing or consuming API Gateways in an enterprise data mesh architecture.</li><li>Prior experience in a vendor- or customer-facing data steward or data liaison capacity.</li></ul> Our team is always hungry for more &#x2013; more knowledge, more problem solving, more growth, more innovation, and, ultimately, customer success. This hunger and hustle fuel our determination to excel in everything we do. It&#x2019;s not just about meeting established goals; it&#x2019;s about exceeding them. We take immense pride in applying our expertise in cutting-edge technologies and our ability to adapt to emerging trends directly to the users in the field, as our nation&#x2019;s protectors deserve nothing less. Omni Federal is an equal opportunity and affirmative action employer. Omni Federal is committed to administering all employment and personnel actions on the basis of merit and free of discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or status as an individual with a disability. Consistent with this commitment, we are dedicated to the employment and advancement of qualified minorities, women, individuals with disabilities, protected veterans, persons of all ethnic backgrounds and religions according to their abilities

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist (Time Series Forecasting) based in Australia. Join a data-driven team developing advanced forecasting solutions that power a live energy trading platform. In this role, you will build and optimize time series models to predict weather conditions, energy market prices, and electricity grid supply and demand. Your work will directly support data-informed trading decisions by transforming analytical models into reliable, production-ready code. You will collaborate in a fully remote, distributed environment where quantitative expertise, technical excellence, and practical problem-solving are highly valued. Leveraging Python, SQL, and modern AI-powered coding tools, you will help bridge the gap between sophisticated forecasting techniques and real-world business applications. This opportunity is ideal for a hands-on data scientist who enjoys solving complex prediction challenges and delivering measurable impact in the evolving energy sector. Accountabilities <ul><li>Time Series Forecasting: Design, develop, and refine forecasting models for weather conditions, energy market prices, and electricity grid supply and demand.</li><li>Production Model Development: Translate forecasting algorithms and analytical models into robust, scalable, production-ready code that integrates with and powers a live energy trading platform.</li><li>Data Analysis &amp; Model Optimization: Analyze relevant datasets, identify patterns and trends, and improve forecasting accuracy to support reliable, data-driven trading decisions.</li><li>AI-Assisted Development: Incorporate agentic coding tools into daily development workflows to accelerate implementation, improve productivity, and support efficient software development.</li><li>Technical Integration: Work with data pipelines, analytical systems, and production environments to ensure forecasting solutions are reliable, maintainable, and suitable for operational use.</li><li>Cross-Functional Collaboration: Communicate technical findings, explain forecasting approaches, and collaborate effectively with distributed teams to align model development with business and platform requirements. </li></ul>Requirements <ul><li>Educational Background: Bachelor&apos;s degree or higher in Mathematics, Econometrics, Physics, Engineering, or another closely related quantitative discipline.</li><li>Professional Experience: At least three years of relevant professional experience in data science, quantitative analysis, forecasting, or a related field.</li><li>Time Series Forecasting Expertise: Demonstrated experience developing and applying time series forecasting models, with the ability to translate quantitative methods into practical solutions.</li><li>Programming Skills: Strong proficiency in Python and SQL for data analysis, model development, and production implementation. Experience with Go is considered an advantage.</li><li>Agentic Coding Tools: Regular, hands-on use of agentic coding tools as part of your daily development workflow, with the ability to integrate AI-assisted techniques effectively into software development.</li><li>Communication Skills: Excellent English communication skills, including the ability to explain technical concepts clearly and collaborate with stakeholders in a remote, international environment.</li><li>Analytical &amp; Problem-Solving Abilities: Strong quantitative reasoning, attention to detail, and a practical approach to addressing complex forecasting challenges and improving model performance.</li><li>Preferred Industry Knowledge: Experience working with energy markets, electricity trading, power grid data, or weather datasets is a plus. </li></ul>Benefits <ul><li>Fully Remote Work: Work remotely from anywhere in a distributed team environment.</li><li>International Collaboration: Opportunity to contribute to a global energy trading platform and collaborate with professionals across different locations.</li><li>Meaningful Technical Impact: Develop forecasting solutions that support real-world energy market decisions and operational trading activities.</li><li>Advanced Data Science Challenges: Work on practical applications of time series forecasting involving weather, market prices, and electricity supply and demand.</li><li>Modern Development Practices: Use agentic coding tools and contemporary development workflows to improve productivity and streamline model implementation.</li><li>Professional Growth: Strengthen your expertise in quantitative modeling, production-grade data science, and applied forecasting in the energy sector. </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.

Data Scientist (Time Series Forecasting)

Full-Stack Software Engineer Location: Global, Fully Remote Job Type: Contractor | :15 hours/week Schedule: Flexible We&apos;re looking for experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, code evaluation, and technical problem-solving. Key Responsibilities <ul><li>Develop and debug front-end and back-end applications.</li><li>Build features, APIs, services, and data models.</li><li>Understand and work across unfamiliar codebases.</li><li>Troubleshoot application, API, database, and integration issues.</li><li>Review and evaluate AI-generated code for correctness, security, performance, and maintainability.</li><li>Translate and adapt software builds between programming languages. </li></ul>Required Skills <ul><li>Python</li><li>React</li><li>JavaScript</li><li>Java</li><li>Node.js</li><li>Rust</li><li>Go</li><li>TypeScript</li><li>Strong full-stack development experience</li><li>Experience with APIs, databases, application architecture, and debugging </li></ul>Hiring Process <ul><li>Submit application and screening questions.</li><li>Complete a :30-minute AI interview.</li><li>Complete a technical assessment, if required.</li><li>Hiring manager review. </li></ul>

Sr. Full-Stack Software Engineer - Remote

Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity The Company We&apos;re partnering with an early-stage AI company building technology that helps organisations make better decisions from complex, fast-changing information. At the heart of the business is a unique and growing data asset. They&apos;re building an intelligence layer around this data &#x2014; combining software engineering, data infrastructure, retrieval and AI to make it searchable, usable and trustworthy. Data is the product. The frontend is the wrapper. They already have customers and are now entering their next stage of growth, rebuilding the engineering team around a small number of exceptional hires. The Role &#x2013; Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity This is a rare opportunity to join as one of the most senior technical people in the business and take significant ownership of the platform. You&apos;ll be highly hands-on across Python, data, RAG, AI and infrastructure, while helping determine what gets built, how it&apos;s built and how the engineering function evolves. You&apos;ll work directly with leadership, taking ambiguous problems and turning them into production software. As the company scales, there is potential for this person to grow into broader technology leadership and ultimately a CTO-level role. What You&apos;ll Be Doing<ul><li>Own and evolve the core AI &amp; data platform</li><li>Build backend services and APIs in Python</li><li>Design complex SQL/PostgreSQL data models</li><li>Build data pipelines and retrieval systems</li><li>Develop RAG and semantic search capabilities</li><li>Build production AI/LLM features</li><li>Make architecture and infrastructure decisions</li><li>Take ambiguous problems from 0&#x2192;1</li><li>Establish engineering standards</li><li>Help build and technically lead the engineering team</li></ul> Tech Stack - Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity Python | SQL | PostgreSQL | TypeScript | AWS | RAG | LLMs | APIs | Data Pipelines AI is deeply embedded into how the team builds. Engineers are encouraged to use AI coding tools extensively, while remaining responsible for understanding, testing and owning what they ship. What They&apos;re Looking For<ul><li>Strong Python backend engineering</li><li>Excellent SQL / relational database knowledge</li><li>Experience with RAG, retrieval or semantic search</li><li>Experience owning production software end-to-end</li><li>Comfortable working across the full stack</li><li>Strong product and technical judgement</li><li>Comfortable solving highly ambiguous problems</li><li>Startup / scale-up experience</li><li>High ownership and autonomy</li><li>Technically strong while commercially minded</li></ul> You don&apos;t need to already be a Tech Lead. They&apos;re more interested in what you&apos;ve owned, the decisions you&apos;ve made and whether you&apos;re capable of becoming the person others rely on for technical judgement. Interview Process<ul><li>Initial conversation</li><li>Short take-home &#x2014; AI use encouraged</li><li>60-minute technical discussion</li><li>30-minute culture conversation</li></ul> Why Join? - Lead Product Engineer &#x2192; CTO | Python, SQL, RAG, AWS, TypeScript | AI &amp; Data Infrastructure, Start-up | Technical Ownership, 0&#x2192;1 | UK remote | Base &#xA3;80-100K + Equity<ul><li>Potential path from Lead Product Engineer &#x2192; CTO</li><li>Become one of the most senior technical people in the business</li><li>Genuine ownership over product and architecture</li><li>Build across AI, RAG, data and backend engineering</li><li>Work directly with company leadership</li><li>Help build the engineering team around you</li><li>Existing customers with a major new product direction</li><li>Flexible London / remote working</li><li>Equity alongside salary</li></ul> If you&apos;re a senior Product Engineer who wants more than another IC role &#x2014; and wants the opportunity to build the product, shape the technology and potentially grow into leading the entire engineering function &#x2014; we&apos;d love to hear from you. Apply with your CV and we&apos;ll be in touch if there&apos;s alignment

Lead Product Engineer → CTO | Python, SQL, RAG, AWS, TypeScript | AI & Data Infrastructure, Start-up | Technical Ownership, 0→1 | UK remote | Base £80-100K + Equity

<h3>What is <a href="https://jobicy.com/company/perfectserve" target="_blank" rel="noopener">PerfectServe</a>? </h3>
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. PerfectServe now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue.
PerfectServe’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians.
Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach:
<ol>
<li>In 2026, PerfectServe was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader.</li>
<li>PerfectServe also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years.</li>
</ol>
At PerfectServe, you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at PerfectServe contributes to important work that moves the business forward.
If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place!
<h3>About the role</h3>
Join a new, small team building PerfectServe's data platform.
We are building the pipelines and models that bring data together from across PerfectServe's product portfolio. You will work closely with a staff data engineer and a platform engineer, with enough ownership to see your work in production and enough support to learn quickly.
The source systems are varied, so the work spans extending established pipelines and designing new ones from scratch. That range is a good part of the job.
<h3>Why this role, specifically</h3>
Joining a platform in its first months is a different experience from joining one that is five years old. The patterns are still being set, which means your questions change them. You will see the whole path — a production source system at one end, someone making a decision at the other — rather than one layer of a stack somebody else assembled.
You will have a dedicated team to work with and learn from so the ownership comes without being thrown in unsupported.
<h3>What you will do</h3>
<ul>
<li>Build and maintain ingestion pipelines from production source systems</li>
<li>Write transformation models that turn raw data into datasets people can trust</li>
<li>Apply dimensional and medallion modelling patterns as the warehouse takes shape</li>
<li>Deploy pipelines to production, and test them properly — idempotency, data quality checks</li>
<li>Contribute to data model and schema design, and to design reviews</li>
<li>Document what you build, including runbooks for the pipelines you own</li>
</ul>
<h3>What you bring</h3>
<ul>
<li>Professional experience building data pipelines, with production ownership of at least some</li>
<li>Strong SQL, and a working programming language — Python, Go or equivalent</li>
<li>Hands-on dbt, or another transformation framework</li>
<li>A cloud data warehouse — Snowflake, BigQuery, Redshift or similar</li>
<li>Practical ELT and orchestration experience (Fivetran, Airflow or equivalent)</li>
<li>Working AWS knowledge — object storage, access basics, and enough networking to reason about where data moves</li>
<li>A testing instinct for data, not only for code</li>
</ul>
<h3>Nice to have</h3>
<ul>
<li>Change-data-capture</li>
<li>SQL Server sources</li>
<li>Healthcare or another regulated data environment</li>
<li>Exposure to a BI or semantic layer</li>
</ul>
<h3>Why Join PerfectServe?</h3>
At PerfectServe, we are transforming healthcare communication and collaboration to help clinicians deliver better care. You’ll work with a dedicated and mission‑driven team in an environment that values growth, transparency, and innovation.
We offer a salary range of $115,000–$140,000 USD per year, with compensation tailored to your background, strengths, and growth potential. This range reflects our commitment to pay transparency and is based on market data, internal equity, and the scope of responsibilities. Compensation is determined by several factors, including experience, skills, and team impact. We regularly review compensation to ensure fairness and consistency. Current employees with questions are encouraged to connect with their manager or People Operations.
<h3>Benefits:</h3>
<ul>
<li>Remote first work environment</li>
<li>Health, Dental, Vision, Life and Disability Insurance options available day one.</li>
<li>401K - with match and immediately vested.</li>
<li>17 company holidays, 2 floating holidays plus competitive paid time off policy</li>
<li>Internal Advancement Opportunities</li>
</ul>
<a href="https://www.perfectserve.com/" rel="nofollow ugc noopener" target="_blank">PerfectServe</a> offers unified healthcare communication solutions to help physicians, nurses, and care team members provide exceptional patient care. PerfectServe’s cloud-based solutions enhance patient safety and reduce provider burnout by automating workflows, speeding time to treatment, optimizing shift schedules, empowering nurse mobility, and engaging patients in their own care.

Data Engineer - US Remote

<div>At <a href="https://himalayas.app/companies/livefront">Livefront</a>, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.</div><div>We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. </div><div>
<div class="section page-centered">
<h3>Who you are</h3>
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
<h3>What you will be doing</h3>
<ul>
<li>Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.</li>
<li>Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.</li>
<li>Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.</li>
<li>Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.</li>
<li>Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.</li>
<li>Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.</li>
<li>Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.</li>
<li>Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.</li>
<li>Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.</li>
<li>Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.</li>
<li>Help build <a href="https://himalayas.app/companies/livefront">Livefront</a>'s Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.</li>
</ul>
<h3>Why you should apply</h3>
<ul>
<li>You want to work with passionate and talented people who are always looking for ways to make things better.</li>
<li>You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.</li>
<li>You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.</li>
<li>You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.</li>
<li>You want to work on products and accounts that have outsized impact and reach.</li>
<li>You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.</li>
<li>You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.</li>
</ul>
<h3>What you bring to the table</h3>
<ul>
<li>7-10 years of data engineering experience with at least 5 years in production Databricks environments, preferably in a consulting or client delivery context.</li>
<li>Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.</li>
<li>Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.</li>
<li>Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.</li>
<li>Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.</li>
<li>Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.</li>
<li>Understanding of data modeling, schema design, and query optimization.</li>
<li>Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.</li>
<li>Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.</li>
<li>Above-average discipline and personal organization skills.</li>
<li>Obvious comfort with critique and peer review in the context of an iterative development process.</li>
<li>A demonstrated hunger for personal and professional growth.</li>
<li>A self-evident love and care for the craft of data engineering.</li>
</ul>
<h3>Bonus points if you…</h3>
<ul>
<li>Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).</li>
<li>Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.</li>
<li>Have experience in healthcare or fintech domains.</li>
<li>Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.</li>
<li>Have experience with Java, Go, or Scala.</li>
<li>Have strong illustration skills for technical diagramming and data architecture documentation.</li>
<li>Speak, write, and/or educate publicly about data engineering topics.</li>
<li>Have contributed to open-source data projects.</li>
<li>Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.</li>
<li>Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.</li>
</ul>
<h3>What to expect</h3>
</div>
<div class="section page-centered">
<div>When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).</div>
<div>Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.</div>
<div>Compensation is $150,000 - $180,000</div>
<h3>Additional information</h3>
<div>We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.</div>
</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Engineer (Databricks)

We&#x2019;re Changing the Rentals Industry We&#x2019;re a profitable, growth-stage company building industry-leading martech and data products for the rentals industry. While originally known for building and operating one of the U.S.&#x2019;s largest rental marketplaces - Rentable, our focus has shifted to our category-leading AI and data SaaS products with triple-digit growth rates. We&#x2019;re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performing people that take our work seriously, but not ourselves. While we&#x2019;ve raised $30MM+ to date from some of the world&#x2019;s best investors, we&#x2019;re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital. If you like the idea of joining an industry-changing company made up of people who genuinely like each other, Rentable could be a great fit for you. The Role Our customers use ApartmentIQ to decide what to charge for real apartments. That number comes out of a pipeline you would own: data pulled from the property management systems that run the industry, fed through demand and renewal models, and surfaced as pricing recommendations that get acted on the same day. We&apos;re hiring a staff-level engineer to own that path end to end. It&apos;s a wide role by design - Python for the ML and ingestion services, Terraform for everything they run on, Ruby for the application layer that customers touch. Often all three in one change. If you like owning a system rather than a layer, this is that job. What You&apos;ll Be Doing <ul><li>Own a system that sets rents. Demand models, renewal probability, price elasticity, compliance scoring - you&apos;ll own the pipeline that produces them and be accountable for the recommendations landing correctly.</li><li>Solve a genuinely hard data problem. Property management systems are walled gardens with inconsistent APIs and no shared identity model. Getting clean, reconciled lease and charge data out of them is the core technical challenge of this role, and we&apos;re rebuilding it from scratch right now.</li><li>Build the infrastructure you depend on. Every database, queue, and role is in Terraform, and you&apos;ll write it. No ticket to another team to get a table provisioned.</li><li>Build the orchestration layer. Ingestion, inference, and the downstream daily jobs need to run in the right order, gate on their inputs being ready, and recover cleanly when something upstream is late. You&apos;ll own that coordination layer end-to-end &#x2014; today it&apos;s cron and careful timing; you&apos;ll make it a real pipeline.</li><li>Prove the numbers are right. Build out the observability and alerting across the data architecture &#x2014; pipeline health, data freshness, and recommendation drift &#x2014; so a bad number gets caught before a customer prices a lease against it.</li><li>Work across the whole stack, for real. Python, Terraform, and Ruby are all first-class parts of this job, not a &quot;some exposure to&quot; bullet.</li><li>Set the bar on AI-assisted engineering. A large and growing share of what we merge is AI-assisted. We want someone with strong opinions about how to do that well and the review judgment to enforce them.</li></ul> Who You Are <ul><li>You want scope, not scaffolding. You&apos;re looking for a system to own outright, and you&apos;d rather have a hard problem and autonomy than a well-defined ticket queue.</li><li>You care that it&apos;s correct. These outputs move real money. You build the checks that prove it, and you notice when a number looks wrong.</li><li>You go end to end. Empty repo to production, including the alarms, the backfill, the runbook, and the migration nobody scoped.</li><li>You raise the level around you. Your reviews make other people&apos;s code better, and work quietly moves off other plates once you&apos;re there.</li><li>You have strong opinions on AI-assisted engineering. You lean on it to ship to customers faster but you have the discipline to uphold code quality standards.</li></ul> Qualifications <ul><li>Proven Track Record: 8+ years building and operating production systems, with real ownership of something significant.</li><li>Python Depth: Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration.</li><li>Infrastructure as Code: Hands-on Terraform. You&apos;ve stood up a production data store yourself, including the IAM, encryption, networking, and alarms around it.</li><li>Data &amp; SQL depth: Fluent in analytical SQL and data modeling - you&apos;ve built and debugged multi-stage warehouse pipelines (ours run on Redshift) and reconciled messy source data into something trustworthy. You&apos;ve worked across the major database paradigms - relational, key-value/document, and search &#x2014; and know what one is the best tool for the job at hand.</li><li>Ruby on Rails: You can own changes across a large Rails codebase, even if it&apos;s not where you&apos;ve spent the most time.</li><li>Cloud Native: Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM.</li><li>ML in Production: You&apos;ve kept models serving correctly over time - versioning, dependency drift, feature plumbing, explainability. You don&apos;t need to have trained them.</li><li>Adaptable &amp; Autonomous: Experience navigating a fast-paced, growth-stage environment where priorities shift and ownership is expected.</li></ul> Nice to Have <ul><li>Golang experience</li><li>Web scraping at scale (Playwright or similar)</li><li>OpenSearch index management and tuning</li><li>SOC 2 or similar compliance and security remediation work</li><li>xgboost, scikit-learn, or SHAP</li><li>Multifamily, PropTech, or revenue management domain experience</li></ul> Why Choose Us <ul><li>Remote-First: We offer the freedom to work from home across most of the U.S. You&#x2019;ll enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together.</li><li>Competitive Compensation: We believe in hiring the best and paying accordingly. You&#x2019;ll receive a competitive salary that reflects your impact and expertise.</li><li>Paid Time Off: Take the time you need with our flexible vacation policy and dedicated paid parental leave to support you and your family&#x2019;s biggest milestones.</li><li>Your Health Matters: Stay healthy with high-quality Medical, Dental, and Vision insurance plans for you and your family.</li><li>Peace of Mind (On Us): We fully invest in your security with 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.</li><li>Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage to keep your pets happy and healthy, too.</li><li>Invest in Your Future: Secure your financial goals with our 401k Program, helping you build for the long term while you help us build the company.</li></ul> If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. We want to alert you to potential recruiting scams targeting job seekers. Please note that our company will never request payment, personal information, or any confidential details during the interview process.

Staff Software Engineer - Data

Senior Databricks Developer - REMOTE (DC Metro Only) New Carrollton, MD 20706 Location Note: Must reside in the Washington DC Metro area Security Clearance: Active IRS MBI Required Employment Type: Full Time (W2) Position Overview Anakim Consulting is seeking an experienced Senior/Lead Databricks Developer to design, build, and optimize enterprise-grade data solutions across mission-critical programs. In this role, you will analyze complex data landscapes, prototype innovative architectures, and deliver resilient software solutions within cloud environments. This Databricks Developer role goes beyond core engineering and will help to shape technical strategy by identifying architectural gaps, introducing modern data patterns, and providing hands-on mentorship and leadership to a collaborative engineering team. Key Responsibilities <ul><li>Solution Architecture and Development: Design, develop, and deploy scalable data pipelines, analytics workloads, and software applications leveraging Databricks on AWS.</li><li>Prototyping and Analysis: Assess and interpret complex business and technical requirements, rapidly developing proof-of-concept (POC) prototypes during discovery and design phases.</li><li>Code Quality and Testing: Conduct structured peer code reviews, enforce engineering standards, write robust unit/integration tests, and execute systematic debugging, refactoring, and performance tuning across sprint cycles.</li><li>Production Support and Incident Triage: Promptly investigate, diagnose, and resolve defect reports, data anomalies, and system errors to maintain operational stability.</li><li>Architecture Modernization: Evaluate existing project architecture, identify structural gaps, and propose new frameworks or software products to enhance performance and maintainability.</li><li>Technical Leadership: Lead and mentor engineering team members through design, implementation, and delivery, fostering high engineering standards and continuous team growth.</li><li>Stakeholder Collaboration: Interface directly with client stakeholders across technical and non-technical tiers, translating mission objectives into technical roadmaps within an Agile framework.</li></ul>

Senior Databricks Developer - REMOTE (DC Metro Only)

About Our Client:This organization operates in the residential energy sector, focusing on improving energy management and savings for customers across North America. It addresses challenges in residential energy efficiency and cleaner energy adoption by managing a large-scale virtual power plant, integrating device telemetry from millions of connected homes to optimize energy use and support sustainability goals. About the Opportunity:The STAFF DATA ENGINEER role is pivotal in shaping the organization&apos;s data platform strategy and infrastructure. This position is responsible for designing and implementing scalable, fault-tolerant data pipelines and a data lakehouse ecosystem that support analytics, operational insights, and machine learning. The role contributes significant technical leadership by mentoring engineers and influencing engineering practices to enhance data architecture and system reliability. Responsibilities:<ul><li>Define and implement long-term data architecture vision and standards.</li><li>Lead design and deployment of fault-tolerant batch and real-time streaming data infrastructure.</li><li>Collaborate with application and analytics teams to align data architecture and delivery.</li><li>Architect and optimize database systems including PostgreSQL Aurora and AWS Redshift.</li><li>Establish technical standards for data pipelines, monitoring, and data quality.</li><li>Participate in infrastructure management and on-call support.</li><li>Mentor data engineers and promote best practices and architectural reviews.</li><li>Evaluate and integrate modern data technologies and frameworks.</li></ul> Requirements:<ul><li>10+ years of software and data engineering experience with architectural leadership.</li><li>Bachelor&#x2019;s or Master&#x2019;s degree in Computer Science, Software Engineering, or equivalent.</li><li>Experience building and operating high-volume batch and streaming data architectures.</li><li>Expertise in scalable data lake architectures and managing device telemetry data.</li><li>Proficiency in database design, performance tuning, and query optimization.</li><li>Strong skills in Python, SQL, CI/CD, and Infrastructure as Code tools like Terraform.</li><li>Analytical problem-solving skills and ability to mentor and align teams.</li></ul> Pay Range and Compensation Package:<ul><li>Base salary range $170,000 to $220,000.</li><li>Eligible for a target annual bonus of 15% of base salary.</li><li>Participation in long-term incentive programs based on company performance.</li></ul> Benefits &amp; Perks:<ul><li>401(k) plan with employer contributions.</li><li>Fully remote work environment with home office allowance.</li><li>Flexible vacation policy and parental leave benefits.</li><li>Competitive health and wellness benefits.</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.

Staff Engineer, Data (Remote, US)

Quick Interview || GCP Data Engineer - Remote || Full time Position - GCP Data Engineer Location &#x2013; RemotePosition Type &#x2013; FTE Harsh JainSr.Technical Recruiterharsh.jain@quantumworldit.comlinkedin.com/in/harsh-jain-a7b541b018052256693 EXT : 845 Quantum World Technologies Inc. Building No. 3, 7 Wills Way, Piscataway, New Jersey, USA 08854

gcp data engineer

Below is the complete job description Lead Data Engineer REMOTE Qualifications, Skills, and Experience <ul><li>Professional software development experience, including ownership of production systems</li><li>Proficiency in Python and experience building APIs using FastAPI or comparable frameworks</li><li>Strong SQL skills and experience working with structured data</li><li>Experience working in cloud environments, especially Microsoft Azure (Function Apps, Service Bus, AKS, etc.)</li><li>Experience with Databricks and PySpark for data-intensive applications</li><li>Experience with Domain-Driven Design and event-driven architecture</li><li>Experience with version control systems (Git, SVN)</li><li>Deep familiarity with automated testing frameworks (e.g., Pytest, Unittest)</li><li>Understanding of Agile methodologies (Scrum, XP, etc.)</li><li>Knowledge of RESTful API design and integration</li><li>Experience with performance tuning, debugging, and dependency management in production environments</li><li>Understanding of CI/CD pipelines and object-oriented design principles (e.g., SOLID)</li><li>Familiarity with front-end technologies such as Angular, React, and TypeScript is preferred</li><li>Exposure to platform engineering or self-service data tooling is a plus, especially in contexts preparing for AI-driven data applications or agentic automation frameworks</li></ul> Preferred Certifications&#xB7; Databricks certified Data Engineer Professional&#xB7; Cloud provider certifications, such as Azure Certified Solutions Architect

Lead Data Engineer

&#x26A1; Staff Data Engineer&#x1F4BC; HealthTech, Data Analytics&#x1F30D; Remote&#x1F4B0; $170,00 - $185,000 + quarterly bonus A high-growth health data organization seeks a Staff Data Engineer to lead critical ingestion and pipeline architecture focused on protected health information (PHI). This role is vital for developing and maintaining secure, reliable, and scalable data pipelines that support clinical benchmarks and performance improvement. You will work closely with leadership to design innovative solutions that ensure data integrity, privacy, and automation within a cutting-edge, AI-assisted development environment. The RoleThis role exists to own and optimize our PHI data pipelines, from ingestion to processing, ensuring compliance and operational excellence. You&#x2019;ll collaborate with technical and product teams to shape our architecture, troubleshoot complex issues, and refine our ingestion lifecycle&#x2014;empowering impactful health insights through sophisticated data engineering. Key Responsibilities:<ul><li>Design, build, and operate pipelines handling sensitive patient data using modern orchestration and cloud platforms.</li><li>Lead end-to-end ingestion processes, including validation, enrichment, masking, and audit, ensuring robustness and automation.</li><li>Implement enterprise-grade observability and data-ops automation, transforming manual tasks into automated workflows.</li><li>Collaborate with cross-functional teams and review system architecture, maintaining high standards of security and performance.</li><li>Drive innovation in data pipeline design, employing AI tools to enhance engineering efficiency.</li></ul> Requirements / Who We&#x2019;re Looking For:<ul><li>Expert Python skills in production data environments.</li><li>Strong experience with data ingestion lifecycle, validation, and failure recovery.</li><li>Proficiency with modern orchestration tools (Dagster, Airflow, or similar).</li><li>Hands-on Kubernetes deployment and operation experience.</li><li>Healthcare data literacy, including familiarity with clinical registries, EMR/EHR systems, and HIPAA compliance.</li><li>Deep SQL knowledge and experience optimizing query performance.</li><li>Authorized to work in the US without sponsorship.</li><li>Preferred: experience with patient identity resolution, cloud platforms (Azure), and data lakehouse stacks.</li></ul> Why Apply?<ul><li>Take ownership of high-impact health data systems with genuine autonomy.</li><li>Collaborate with innovative engineers and leaders shaping a vital industry.</li><li>Grow your expertise with AI-assisted development and cutting-edge cloud architecture.</li><li>Be part of a mission-driven team making a meaningful difference in healthcare quality and access.</li><li>Experience flexible, remote work empowering your best performance.</li></ul>

Staff Data Engineer

At Deckers Brands, Together, Every Step is a promise kept that every employee can bring their authentic self, is valued and supported, as a whole person, at work and beyond. Together, Every Step is how we continue to deliver exceptional business results, experience an amazing place to work, and have a positive impact on the communities and world around us. Job Title: Data Engineering Lead Reports to: Sr. Manager, Data &amp; ML Engineering Location: US (Remote) Interested applicants must reside in one of the following approved states: Arizona, California, Colorado, Indiana, Massachusetts, Minnesota, New York, Oregon, Pennsylvania, Texas, Utah, Washington The Role As the Data Engineering Lead, you will be the senior technical voice within Deckers&#x2019; data and ML engineering organization. You&#x2019;ll provide hands-on leadership for data engineering design, build quality, and delivery standards across our enterprise data products. This role is all about setting the bar for technical excellence&#x2014;establishing design patterns, coding standards, and review gates for distributed engineering teams, including external partners. You&#x2019;ll build engineering capability through design review, pairing, coaching, and structured knowledge transfer, ensuring our data products are reliable, scalable, and ready to power business decisions. We celebrate diversity--of your background, your experiences and your unique identity. We are committed to ensuring an inclusive and equitable workplace where all of our employees can Come as They Are. We believe that when we bring our different perspectives to work, we are truly Better Together. Your Impact <ul><li>Provide day-to-day technical leadership for data engineering design, build quality, and delivery standards across enterprise data products.</li><li>Review designs and enforce coding standards across internal and partner engineering, acting as the technical review gate before build begins on significant work.</li><li>Own engineering standards for model design and naming, code review, CI/CD, testing, documentation, and deployment practices across distributed teams.</li><li>Lead the design and delivery of analytics-ready data models and transformation layers using dbt, including staging, intermediate, and mart layers with tests, documentation, and governed release workflows.</li><li>Build and operate cloud-native ingestion, transformation, and delivery pipelines on AWS, focusing on reliability, performance tuning, and cost efficiency.</li><li>Establish and maintain reusable data engineering patterns for ingestion, transformation, and delivery so that solutions are repeatable.</li><li>Provide technical direction across distributed engineering teams, including external delivery partners, and hold the technical quality of their output to Deckers standards.</li><li>Coach and develop data engineers and analytics engineers through design review, pairing, technical guidance, and structured knowledge transfer.</li><li>Reduce key-person dependency by documenting engineering patterns, designs, and runbooks so that critical knowledge is retained by the organization.</li><li>Drive data quality practices within engineering, including source definitions, freshness monitoring, automated tests, reconciliation, and lineage expectations.</li><li>Lead root cause analysis and remediation for complex production data issues, strengthening patterns and controls.</li><li>Translate business needs from finance, sales, supply chain, product, and consumer stakeholders into scalable data engineering designs.</li><li>Partner with data architecture, cloud engineering, and security to align data product designs with enterprise architecture, security, privacy, and compliance requirements. </li></ul>Who You Are <ul><li>Bachelor&#x2019;s degree required, preferably in Computer Science, Computer Engineering, or a related technical field; Master&#x2019;s degree preferred.</li><li>8&#x2013;10 years of experience building enterprise-grade data platforms, pipelines, and analytics-ready data models.</li><li>3+ years providing technical leadership on data engineering delivery, including design review and standards enforcement.</li><li>Hands-on experience using dbt as a primary transformation framework in production, including model design, testing, documentation, CI/CD, and release practices.</li><li>Strong experience delivering data pipelines on AWS (e.g., S3, Redshift, Glue, Athena, Lambda) and cloud data warehouse platforms.</li><li>Experience providing technical direction to distributed engineering teams, including external delivery partners.</li><li>Experience with data quality practices including automated testing, reconciliation, freshness monitoring, and lineage.</li><li>Experience supporting machine learning and advanced analytics use cases through curated, feature-ready datasets is preferred.</li><li>Deep expertise in dimensional modeling and analytics engineering, including dbt best practices and SQL performance tuning.</li><li>Strong AWS data engineering skills including pipeline reliability, performance tuning, and cost awareness.</li><li>Ability to set and hold engineering standards across teams the role does not directly manage.</li><li>Strong design review, technical coaching, and knowledge transfer skills.</li><li>Ability to translate ambiguous business requirements into scalable and repeatable engineering designs.</li><li>Proficiency in SQL and Python, with working knowledge of orchestration tooling such as Airflow.</li><li>Familiarity with AI-assisted development workflows and their application to pipeline development, refactoring, and documentation.</li><li>Excellent problem-solving and root cause analysis skills.</li><li>Strong communication skills across technical and business stakeholders.</li><li>Comfortable working in a fast-paced, matrixed, and global environment. </li></ul>What We&apos;ll Give You &#x2013; <ul><li>Competitive Pay and Bonuses - We&#x2019;ve created a variety of competitive compensation programs to foster career development, reward success and to show our employees just how much they&#x2019;re valued.</li><li>Financial Planning and wellbeing - No matter what financial goals our employees have set, we want to help them get there. Our plans provide powerful ways to protect income, pay for expenses and invest in the future.</li><li>Time away from work - Sometimes we need time away to be with family, focus on our health or just simply recharge. Our plans support our employees&#x2019; needs to get out, get healthy and come back stronger than ever.</li><li>Extras, discounts and perks - Being a valued member of the Deckers Brands team means more than just a paycheck. From generous discounts to community-based programs, we offer a variety of cool extras</li><li>Growth and Development - Deckers Brands was built on the idea of pursuing passion. That&#x2019;s why we offer extensive opportunities and support for personal and professional development.</li><li>Health and Wellness - There&#x2019;s nothing basic about our comprehensive health and wellness programs and offerings. While at work and at play, we aim to support a healthy lifestyle. </li></ul>$122,300.00 - $165,000.00 The salary range posted reflects the estimated minimum and maximum target for new hire salaries for this role in: Goleta, California (Remote) Individual pay will be determined by location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary for your preferred location during the hiring process. Equal Employment Opportunity Diversity and inclusion are key to our success. We are proud to be an equal opportunity employer, and our employees are people with different strengths, experiences and backgrounds who share a passion for our brands. We welcome qualified applicants regardless of their race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, mental or physical disability, medical condition and all the other beautiful parts of your identity.

Data Engineering Lead

Hiring: AI Tech Lead | $190k&#x2013;$210k + Super | Fully Remote (Australia) I&apos;m partnering with a growing Australian software company looking for a hands-on AI Tech Lead to take technical ownership of a new AI-powered product. This is a genuinely hands-on position, with around 80% of your time spent engineering and the remainder focused on technical direction, architecture and mentoring. You&apos;ll be working within a small engineering team, with plenty of autonomy to influence how the platform is built and scaled. What you&apos;ll be working on:<ul><li>Designing and building production agentic AI workflows</li><li>Developing multi-agent orchestration and LLM-powered automation</li><li>Building reliable backend services and integrations</li><li>Implementing evaluations, monitoring and guardrails for AI systems</li><li>Making architectural decisions and mentoring engineers as the team grows</li></ul> What we&apos;re looking for:<ul><li>Strong commercial software engineering experience with TypeScript and Node.js</li><li>Hands-on experience shipping LLM-powered features into production</li><li>Experience with LangChain, LangGraph or similar orchestration frameworks</li><li>AWS experience, particularly Lambda, ECS or serverless architecture</li><li>An understanding of LLM evaluations, observability and reliability</li><li>Previous technical leadership experience without losing the hands-on element</li></ul> Package: $190k&#x2013;$210k + SuperLocation: Fully remote across AustraliaType: Permanent Australian working rights required. If you&apos;re a hands-on engineer who enjoys owning technical decisions and building AI systems that solve real problems, feel free to reach out.

Technical Lead

Senior Data EngineerUK Remote | Occasional travel to London (approximately 1&#x2013;2 times per month) Exciting opportunity for a Senior Data Engineer to join a growing technology function at an important stage of its data transformation journey. The business is developing a new group-wide data platform using Azure, with Power BI as the primary analytics and reporting layer. This is a hands-on role with genuine scope to influence how the platform is built, establishing engineering standards, patterns and best practices as the data environment continues to mature. Microsoft Fabric is also part of the platform&apos;s ongoing development, offering the opportunity to contribute to its evolution. You will take a leading role in building and extending data pipelines, working with Python, SQL and Fabric across a broad range of enterprise source systems and data domains. You&apos;ll also help shape the technical standards for the platform, ensuring data is reliable, secure, governed and accessible across the organisation. The Role:<ul><li>Build, maintain and extend data ingestion, transformation and orchestration pipelines using Python, SQL and Azure technologies.</li><li>Develop and optimise data solutions within Azure Synapse Analytics, supporting the ongoing development of the wider data platform.</li><li>Develop data models and curated datasets to support Power BI, analytics and data science.</li><li>Help establish engineering standards, reusable patterns and best practices across a growing data platform.</li><li>Work across multiple enterprise source systems and data domains, with responsibility for data quality, governance, security and platform performance.</li><li>Contribute to the ongoing development of the platform, including its adoption and use of Microsoft Fabric.</li><li>Provide technical guidance to other engineers and help develop the wider organisation&apos;s use of its data platform.</li></ul> The Person:<ul><li>Strong commercial experience as a hands-on Data Engineer, ideally having helped build or mature a cloud data platform rather than solely operating an established environment.</li><li>Strong hands-on experience with Python and SQL, alongside practical experience building data platforms using Azure Synapse Analytics and wider Azure technologies.</li><li>Experience building and maintaining production data pipelines, data models and analytics-ready datasets, ideally with Power BI as a consumption layer.</li><li>Good understanding of modern data architecture, including lakehouse and warehouse patterns, data quality, governance and security.</li><li>Experience with Microsoft Fabric would be beneficial, but the key requirement is a strong foundation in Python, Synapse and building data platforms.</li><li>Comfortable working across a complex or multi-site organisation and collaborating with architects, analysts, data scientists and wider technology teams.</li></ul> This is a fantastic opportunity to join a well-established business at a relatively early stage of its data journey, taking on a key hands-on engineering role with genuine influence over how its group-wide data platform develops. You&apos;ll have the opportunity to work with established Azure technologies while contributing to the platform&apos;s evolution, including its use of Microsoft Fabric.

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

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

Senior Data Engineer, Ads

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

Big Data Application Developer

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

Data Engineer

Please note: Our Talent team at <a href="https://jobicy.com/company/jobber" target="_blank" rel="noopener">Jobber</a> will be offline for Jobber Impact - our flagship event of the year, bringing Jobberinos together to connect, learn, and celebrate what we're building - starting October 6th and extending until October 9th. We’ll be back to go through applications and reach out with an update on your candidacy once we return next week!
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This will be updated automatically on all job posts above our What you can expect from Jobber headline.
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The automated email to candidates will have the same message as above.
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<h3>Does working with Data motivate and excite you? Do you want to make a difference cross functionally? </h3>
Then Jobber might be the place for you! We’re looking for a new Staff Data Engineer to join our Data Platform Team.
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want!
Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish<a href="https://www.youtube.com/watch?v=EkfZmHrRLx4&amp;list=PLoktA_D-2UEnxMLfCe93bANKXVXd2bdN8&amp;index=24" rel="nofollow ugc noopener" target="_blank"> for our customers</a>.
We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals.
The team:
The Data Integration team's mission is to empower teams across Jobber with the right data, at the right time, in the right place, so they can deliver business value better and faster. Key responsibilities include: data ingestion and Change Data Capture (CDC), including materializing CDC streams into tables in Snowflake; data activation (egress); managing the systems involved in the movement and transformation of data; self-serve tooling; and data integrity and governance.
The role:
As a Staff Data Engineer, you will play a critical role in shaping the future of data integration at Jobber. As a technical champion and force multiplier, you’ll lead and mentor a team of exceptional data engineers while solving complex technical challenges. Your expertise will span architecture, technical leadership, design, and hands-on coding, enabling you to significantly influence the direction of data at Jobber.
Beyond day-to-day delivery, you will dedicate time to work acceleration, cross-team initiatives, exploration of emerging technologies, addressing technical debt, and investing in the future of engineering at Jobber. This is a highly strategic and hands-on position where you’ll combine deep technical expertise with leadership to design resilient systems, empower teams across the organization to self-serve with confidence, and ensure our data remains a trusted asset that accelerates business growth.
As a Staff Data Engineer, you will:
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Shape Foundational Data Components: Design, build, and maintain scalable batch and real-time data pipelines, while also looking across systems and ahead to anticipate future needs.
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Demonstrate Technical Mastery: Deliver high-quality solutions through deep expertise in modern data tools and technologies. Champion technical excellence within the team by setting best practices, raising the bar for engineering quality, and mentoring team members at all levels to support their growth and career development.
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Drive Reliability &amp; Resilience: Establish testing and reliability standards, SLAs (uptime, RTO, RPO), and disaster recovery playbooks. Lead major reliability initiatives to minimize downtime and protect critical business data.
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Advance Observability &amp; Governance: Build frameworks for monitoring, logging, lineage, and auditing to ensure visibility, compliance, and trust in data. Define governance policies that enforce data integrity, availability, and reliability across the platform.
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Accelerate and Empower Data Access: Develop self-service tools, frameworks, and automation that reduce manual effort, improve efficiency, and enable teams across engineering, analytics, and data science to work effectively with data while minimizing dependency on the Data Platform team.
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Contribute to Strategic Planning: Partner with Technical Program Managers to define and refine strategic roadmaps, ensuring that data engineering priorities align with business objectives.
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Drive Cross-Team Collaboration: Collaborate with Staff Engineers and technical leaders across domains to identify friction points, and work collectively to design solutions that improve system reliability, consistency, and scalability.
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Accelerate Business Growth: Work closely with data analysts, scientists, and product teams to enable fast, seamless exploration, analysis, modeling, and reporting. Build automation and infrastructure that reduce friction and accelerate decision-making.
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Safeguard Data Integrity: Own the integrity and reliability of data, ensuring stakeholders across the organization maintain trust in the insights and decisions driven by it.
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On-Call Rotation: Members of the Data Platform team participate in an on-call rotation, covering one week at a time. When an incident occurs outside of regular working hours, we provide time off in lieu to support healthy balance and recovery. From time to time, major maintenance work may require team members to serve as primary or secondary on-call support over a weekend. Jobber is committed to maintaining a fair, transparent, and humane on-call experience. Your interview team will be happy to walk you through how we manage on-call responsibilities in practice.
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To be successful, you should have:
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Core Data Engineering Expertise: Hands-on experience with batch and real-time data processing frameworks, lakehouse/warehouse management, large-scale data transformation, data serialization, workflow orchestration and dimensional modeling (star/snow-flake schemas)
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Scalable Systems Development: Proven ability to design and deliver highly scalable, maintainable, and high-performance solutions across multiple layers of the technology stack, leveraging containerization, CI/CD, and API development.
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AWS Cloud Proficiency: Strong understanding of AWS services relevant to the data domain, with hands-on experience leveraging them to design and implement data solutions.
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Technical Leadership &amp; Engineering Excellence: Demonstrated success guiding teams through complex, high-impact projects while providing architectural direction and serving as a trusted technical lead. Exceptional proficiency in software design, system architecture, and coding, with a focus on long-term maintainability, performance, and resilience.
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Reliability &amp; DevOps Practices: Strong background in infrastructure-as-code (Terraform, CloudFormation), observability (logging, monitoring, tracing), and system reliability.
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Collaboration &amp; Adaptability: Exceptional communication skills, self-motivation, and resourcefulness, with the ability to navigate ambiguity, prioritize effectively, and deliver results in fast-paced environments.
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It would be really great (but not a deal-breaker) if you had:
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Machine Learning Platform Experience: Exposure to ML platforms and distributed compute frameworks (e.g., Ray, TensorFlow, PyTorch). Experience collaborating with Data Scientists to operationalize models, implement drift detection, or scale ML workloads.
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Cross-Domain Engineering Experience: Hands-on exposure to non–data engineering codebases, such as web application frameworks (Ruby on Rails) and modern front-end stacks (TypeScript/React).
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API &amp; Integration Knowledge: Familiarity with GraphQL, API layer design, and performance optimization.
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Platform Building Experience: Prior work on developer tooling or shared platforms that supported multiple engineering domains.
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Governance &amp; Compliance Awareness: Knowledge of data privacy, security, and compliance in cloud-based data environments.
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Knowledge of data privacy, security, and compliance considerations in a cloud-based data environment.
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Compensation:
At Jobber, we also believe that compensation should be transparent, fair, and supportive of your experience and growth. This role has a minimum annual salary of $169,200 CAD, a midpoint of $199,100 CAD and a maximum salary of $228,900 CAD, designed to reflect the progression from learning the ropes to truly excelling.
We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual's current capabilities and their opportunity for future growth.
Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You'll have access to a dedicated talent development program that includes career coaching and opportunities for career development.
We believe in transparency and open conversations about compensation. If you have any questions about our approach, we're happy to discuss them throughout the hiring process!

What you can expect from Jobber:
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A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options.
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A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
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A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet.
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To work with a group of people who are humble, supportive, and give a sh*t about our customers.
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We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.

A bit more about us:
Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they’re successful we all win!

About the roleJoin a team of CRM specialists and analysts who keep Amnesty International Australia&#x2019;s CRM systems and data processes running smoothly and reliably. This is a 12 month contract covering core CRM administration and data processing while the team delivers a major systems project. We need someone who can get up to speed quickly and manage the day-to-day workload independently, with minimal oversight. There&#x2019;s also scope to spot and fix minor process inefficiencies along the way. The details<ul><li>Fixed-term contract, 12 months</li><li>75 hours per fortnight</li><li>Level 7.1</li><li>Remote work</li><li>Reports to the Data, Insights and Supporter Care (DISC) Manager</li><li>Start date: as soon as possible</li></ul> What you&#x2019;ll do<ul><li>Configure and maintain our CRM systems, including user roles, permissions and security settings</li><li>Manage data imports, exports and integrations with external platforms</li><li>Provide help desk support for colleagues, including queries, segments and troubleshooting</li><li>Maintain relationships with vendors, including Blackbaud and payment processors, and manage escalations</li><li>Support data quality, master data management, and privacy and security compliance</li><li>Assist Finance with payment authorisations and transaction processing</li><li>Flag clunky or overly manual processes and fix the quick wins</li><li>Document processes clearly so knowledge isn&#x2019;t held by one person</li><li>Train colleagues and stakeholders on CRM functionality and data processes</li></ul> What you&#x2019;ll bringEssential:<ul><li>Significant experience administering CRM platforms in a fundraising, membership or similar environment</li><li>A proven ability to run CRM administration independently, with minimal supervision or ramp-up time</li><li>Experience with data imports, exports and integrations between systems</li><li>Strong Excel skills and confidence working with data</li><li>The ability to provide effective user support and training</li></ul> Highly desirable:<ul><li>Experience with Blackbaud CRM and BVDL (Brightvine Data Link), or similar enterprise fundraising platforms</li><li>Experience with payment processing systems and reconciliation</li><li>Familiarity with data governance principles</li><li>A track record of identifying and implementing process improvements</li></ul> What makes you a great fitYou&#x2019;re reliable and self-directed, and you&#x2019;re happy to own the day-to-day without close supervision. You&#x2019;d rather fix a problem than write about it, and you&#x2019;re comfortable saying &#x201C;this process doesn&#x2019;t make sense&#x201D; and suggesting a better way. You can explain technical matters to non-technical colleagues and document things so others can follow them. What success looks like in your first six months<ul><li>You&#x2019;ve taken full ownership of day-to-day CRM administration</li><li>Data processing, imports, exports and help desk support are running smoothly with no backlog</li><li>Key processes are documented, so knowledge no longer depends on a single person</li><li>You&#x2019;ve built strong working relationships with all teams</li></ul>

Database Specialist

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

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