Data Engineer (DoD Secret | Remote)

About this role

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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