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
