Data Engineer (DoD Secret - Remote)

Das ist der Job

Data Engineer (DoD Secret | Remote) Location: Remote (U.S.

Darum lohnt es sich

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.

Collaborate with DevSecOps and Data Science teams to deliver AI‑ready datasets for predictive analytics and readiness forecasting. 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. #J-18808-Ljbffr 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.

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 Why You’ll Love Working Here Weekly Pay and Full Remote Flexibility.

Professional Growth through paid certifications and training.