Remote Data Engineer Jobs
Remote data engineer jobs are open across the U.S. at remote-first firms, distributed tech teams, and companies in software, finance, healthcare, and data infrastructure. Employers hiring remotely right now include CVS Health, Syms Strategic Group, LLC (SSG), and AECOM. See the openings below and apply to the ones that match your experience.
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Work Location: Remote; periodic Government-authorized travel to Robins AFB, Georgia, as required.
Security / Access: U.S. citizenship required; able to complete Tier 1 background investigation, obtain and maintain CAC and required logical access within 15 calendar days after contract start; able to handle CUI in Government-authorized environments.
Position Summary
The Senior Data Engineer / Integration Lead is responsible for establishing, scheduling, sustaining, and continuously improving authorized data pipelines supporting the HQ AFRC/A4 Flying Hours Project (FHP) and future Data Analytics and Automation Portfolio workloads. The position serves as the technical lead for direct integration with Government-designated authoritative operational data systems, including Palantir Foundry and related Air Force logistics, maintenance, and flight-management sources made available by the Government.
The role translates operational data requirements into governed, traceable data models and automated ETL/ELT processes within Government-furnished environments. This individual owns technical integration architecture, source-to-target mapping, pipeline scheduling, transformation rules, data lineage, reconciliation, and technical problem resolution. The Senior Data Engineer works closely with the Power BI Developer / Data Analyst and Contract Project Manager to deliver validated, high-availability decision support products.
Key Responsibilities
- Lead discovery and integration of Government-authorized data sources, including source-system assessment, schema review, data-owner coordination, source-key identification, refresh analysis, and interface/access dependency tracking.
- Configure and maintain scheduled, automated ETL/ELT data pipelines using Government-provided tools, approved connectors, Palantir Foundry capabilities where applicable, and Government cloud/VDI environments.
- Develop and maintain source-to-target mappings, transformation specifications, data dictionaries, lineage records, schema-change controls, and data architecture documentation.
- Build reusable, modular data models and ingestion standards that support FHP delivery and rapid onboarding of future authorized A4 portfolio workloads.
- Design data pipelines and technical artifacts using modular, air-gapped-ready principles that support potential future NIPRNet-to-SIPRNet migration without performing SIPRNet work during the base period.
- Implement data validation, profiling, cleansing, integrity checks, exception handling, and reconciliation processes to ensure released metrics align with Government-designated authoritative sources.
- Lead root-cause analysis and resolution of data mapping, refresh, transformation, and performance issues; resolve mapping issues within required service thresholds.
- Collaborate with the Power BI Developer / Data Analyst to deliver curated datasets, semantic-model inputs, refresh schedules, and traceable business rules for dashboard measures and visuals.
- Build or support automated UAT scripts and release validation using tools available inside the Government-furnished environment.
- Monitor pipeline execution, data freshness, data quality, query performance, and system dependencies; provide technical input to monthly status and dashboard-metrics reporting.
- Maintain configuration, code, documentation, and technical artifacts in Government-designated repositories; ensure Government ownership and transition readiness.
- Support Government-led Agile ceremonies, sprint reviews, backlog refinement, technical working sessions, and approved on-site integration or knowledge-transfer events.
- Safeguard CUI and Government-furnished equipment; use only Government-approved connectivity and tools; do not store Government information on unapproved devices.
Required Qualifications
- U.S. citizen able to satisfy CAC, Tier 1, and Government logical-access requirements.
- Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical discipline; equivalent relevant professional experience may substitute for a degree.
- Seven or more years of progressively responsible experience in data engineering, data integration, database/data architecture, analytics engineering, or related technical roles.
- Demonstrated experience designing, building, and sustaining automated and scheduled ETL/ELT pipelines that integrate multiple enterprise data sources.
- Demonstrated experience with data modeling, relational and/or analytical database design, source-to-target mapping, data lineage, data quality, data reconciliation, and performance tuning.
- Demonstrated experience with SQL and at least one enterprise data-integration, transformation, orchestration, or pipeline-development toolset.
- Experience working in Agile delivery environments with version control, testing, documentation, and iterative release practices.
- Ability to communicate technical dependencies, data-quality findings, integration risks, and solution options clearly to Government stakeholders and nontechnical users.
Preferred Qualifications
- Direct hands-on experience with Palantir Foundry, including Foundry data pipelines, transforms, data lineage, ontology/data-model concepts, scheduling/orchestration, and operational analytics delivery.
- Experience integrating or analyzing logistics, maintenance, readiness, aviation, flight-management, or other complex operational data.
- Experience with Air Force or DoD enterprise data environments, including BLADE, Envision, REMIS, ADVANA, or comparable Government-authoritative systems.
- Experience designing data solutions in Microsoft Azure, Microsoft Fabric, Power BI Premium, SharePoint Online, or comparable Government cloud environments.
- Experience developing systems or artifacts that support CUI handling, Government data ownership, and future air-gapped deployment requirements.
Performance Measures
- Data pipelines accurately reflect authoritative source data and meet applicable availability objectives, excluding Government-source or Government-network outages.
- Zero critical calculation errors in released data products.
- Data mapping issues are resolved within two business days, when within contractor control.
- Reconciliation evidence and technical documentation are complete, current, and available for Government review.
- Initial FHP integration deliverables and associated SDP/roadmap inputs support the required 60-calendar-day baseline delivery schedule.
Pay: $160,000.00 - $180,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Experience:
- Palantir Foundry: 1 year (Required)
Security clearance:
- Confidential (Required)
Work Location: Remote
See All 560+ Remote Data Engineer Jobs
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Find Remote Data Engineer JobsRemote Data Engineer Job Market
Who's Hiring
- CVS Health36

- Syms Strategic Group, LLC (SSG)19
- AECOM16

- Olsson12

- First Citizens Bank8

Top Industries Hiring
- Technology & Software16
- Insurance6
- Consulting & Professional Services6
- Banking & Financial Services3
- Medical Devices2
What Employers Look For
The qualifications that appear most often in remote data engineer jobs.
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms like AWS, GCP, or Azure
- Experience building and maintaining ETL or ELT pipelines in production
- Familiarity with orchestration tools such as Apache Airflow or Prefect
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with columnar or distributed data warehouses such as Snowflake, BigQuery, or Redshift
Tips for Your Remote Data Engineer Job Search
Show async communication skills upfront
Remote data engineering teams run on written communication. Include brief written summaries in your portfolio explaining pipeline decisions, trade-offs, and outcomes. Employers hiring remotely look for candidates who document their thinking without being asked.
Highlight remote-ready tooling in your materials
Call out experience with tools that signal remote readiness for data engineers: dbt, Airflow, Spark, cloud warehouses like BigQuery or Redshift, and version-controlled SQL. Remote teams assume distributed workflows, so familiarity with these tools matters more than office-adjacent skills.
Apply early to remote roles that fit
Migrate Mate lists remote data engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through mixed results. Remote postings fill faster than on-site roles, so applying early improves your odds.
Build a public project portfolio before applying
Remote hiring managers can't observe you in an office, so a GitHub repository or portfolio site showing real pipeline work does the job instead. Prioritize projects that demonstrate data modeling, orchestration, or transformation work relevant to your target industries.
Remote Data Engineer Jobs: Frequently Asked Questions
How do I get a remote data engineer job?
Target companies with distributed engineering teams or a fully remote culture, since they've built workflows that let data engineers operate independently. Remote employers screen for async written communication, self-directed problem-solving, and hands-on fluency with tools like dbt, Spark, Airflow, and cloud platforms. A public portfolio or GitHub history demonstrating end-to-end pipeline work gives candidates a concrete edge over equally credentialed applicants.
Which companies hire remote data engineers?
Companies hiring remote data engineers right now include CVS Health, Syms Strategic Group, LLC (SSG), and AECOM, based on current remote listings on Migrate Mate as of September 2026. Remote data engineer roles concentrate at remote-first software companies, fintech firms, and healthcare data platforms that rely on distributed engineering teams to build and maintain their data infrastructure.
Can you get a remote data engineer job with no experience?
Yes, but remote entry-level data engineer roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Remote-first startups and smaller data teams are the most likely to hire entry-level candidates. Demonstrating portfolio projects, open-source contributions, or freelance pipeline work can substitute for formal experience and show you can deliver without in-office oversight.
Do you need a degree for remote data engineer jobs?
Not always. Many remote employers weigh demonstrated skills over formal credentials, especially for data engineers, where portfolio work, certifications in cloud platforms like AWS or GCP, and proficiency with SQL and Python are highly legible signals. A degree helps at larger companies with structured hiring, but remote-first firms regularly hire candidates whose GitHub or project history makes the case on its own.
Which industries hire the most remote data engineers?
Most remote data engineer openings sit in Technology & Software, Insurance, and Consulting & Professional Services, per current remote listings on Migrate Mate as of September 2026. These sectors rely heavily on distributed teams that handle large data volumes across multiple time zones, making remote data engineering a natural fit for their operating models.
See All 560+ Remote Data Engineer Jobs
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Find Remote Data Engineer Jobs