Data Engineer (DoD Secret | Remote)

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