Design, build, and maintain cloud-native data pipelines (Ingest→Transform→Expose) using Airflow, Spark, dbt, and Iceberg. Ingest and normalize HL7/FHIR/OMOP and other structured/unstructured data for analytics and AI, implement schema versioning and governance, ensure interoperability and compliance with DoD Responsible AI and NIST frameworks, and collaborate with DevSecOps and Data Science teams to deliver production-ready datasets.
Data Engineer (DoD Secret | Remote)
Location: Remote (U.S. Based)
Clearance: Active DoD Secret Clearance (or higher)
Make an Impact on Military Healthcare and Readiness
- Join Rackner to modernize secure data infrastructure for a critical defense health program—enabling real-time insights that support care delivery, operational readiness, and mission decision-making.
- You’ll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.
- If you’re passionate about data engineering, cloud-native systems, and mission-driven innovation, this is your opportunity to make a national impact.
What You’ll Do
- Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
- Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases.
- Map datasets to FHIR and OMOP standards to enable interoperability and decision support.
- Implement schema versioning and governance to ensure traceability and audit-ready lineage.
- Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting.
- Optimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.
Who You Are
- 4+ years of experience in Data Engineering or Analytics Engineering
- Proficient in SQL and Python, with experience building modular, version-controlled transformations
- Hands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)
- Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems
- Familiar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures
- Excellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)
Preferred / Bonus
- Experience with FHIR, OMOP, or HL7 data standards
- Background in DoD, VA, or other federal health IT programs
- Knowledge of Responsible AI and NIST AI Risk Management Frameworks
- Familiarity with complex operational data systems or readiness analytics
About Rackner
- Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
- We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
- Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.
Why You’ll Love Working Here
- Weekly Pay and Full Remote Flexibility.
- Professional Growth through paid certifications and training.
- Comprehensive Benefits including 401(k) with 100% match up to 6%, PTO, medical/dental/vision, life & disability insurance.
- Home office equipment plan and supportive, inclusive team culture with mission impact.
Hashtags for Visibility
#DataEngineering #DoDCleared #AWSData #Airflow #dbt #Spark #FHIR #RacknerCareers #FederalTech #AIReadyData
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