Remote Data Integration Engineer Jobs
Remote Data Integration Engineer jobs are in steady demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for pipeline, ETL, and data platform work in sectors like software, healthcare, and financial services. Employers hiring remotely right now include SMX, Wittij Consulting, and Jabil. Scan the live roles below and apply to whichever ones fit.
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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 37 Remote Data Integration Engineer Jobs
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Find JobsRemote Data Integration Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data integration engineer jobs.
- Proficiency in SQL and at least one ETL or ELT tool such as Informatica, Talend, or dbt
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Strong programming skills in Python, Java, or Scala for pipeline scripting and automation
- Familiarity with data orchestration tools such as Apache Airflow, Prefect, or Luigi
- Experience integrating REST or SOAP APIs and working with JSON or XML data formats
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Data Integration Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data integration engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through non-remote listings mixed into broader job feeds.
Build a public portfolio of pipeline work
Remote employers can't watch you work, so they rely on evidence. Publish ETL workflows, data modeling projects, or API integration scripts to GitHub with clear README documentation explaining your design decisions and the problem each project solved.
Signal async communication skills in your application
Remote data integration teams run on written communication. Use your cover letter and any take-home exercises to show you can write precise technical specs, document data flows clearly, and raise blockers in a way that moves work forward without a meeting.
Target remote-first companies over hybrid postings
Remote-first companies have built their engineering workflows around distributed teams, which means clearer async processes, better tooling, and less pressure to eventually relocate. Look for companies whose entire engineering org is distributed, not just teams with one remote seat open.
Remote Data Integration Engineer Jobs: Frequently Asked Questions
How do I get a remote data integration engineer job?
Remote data integration engineer roles go to candidates who can demonstrate self-direction and clear async communication alongside strong technical skills. Remote employers screen for hands-on experience with ETL tools, cloud data platforms, and SQL, plus the ability to troubleshoot pipelines independently without an in-office team nearby. Documenting your integration projects publicly, writing clean technical specs, and showing you can communicate across time zones gives you a real edge over candidates with similar technical skills but no remote work history.
Which companies hire remote data integration engineers?
Employers currently hiring remote data integration engineers include SMX, Wittij Consulting, and Jabil, per current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed data platform teams, and organizations in healthcare and financial services are among the most consistent hirers of this role outside a physical office.
Can you get a remote data integration engineer job with no experience?
Yes, but remote entry-level data integration roles are harder to land because employers expect you to debug pipeline failures and manage your own workflow without daily supervision. Remote-first startups and mid-size SaaS companies are the most open to junior candidates. A GitHub portfolio showing real ETL builds, data modeling work, or open-source contributions can substitute for formal experience and open doors that a resume alone won't.
Do you need a degree for remote data integration engineer jobs?
Not always. Many remote employers care more about what you can build and ship than whether you hold a formal degree. Demonstrated proficiency in tools like Spark, dbt, Airflow, or cloud data warehouses, combined with a portfolio of completed integration projects, carries significant weight. A degree in computer science or a related field helps, but candidates who can show results from real projects regularly compete on equal footing.
Which industries hire the most remote data integration engineers?
Most remote data integration engineer openings sit in Technology & Software, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed engineering teams that need to move data between cloud systems, third-party APIs, and internal platforms regardless of where the engineers are located.
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