Data Engineer (DoD Secret | Remote)

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 cro...