{"schemaVersion":"jobsearcher.job.v1","id":"8a10a55ffee63d856d472868","url":"https://jobsearcher.com/jobs/8a10a55ffee63d856d472868","canonicalUrl":"https://jobsearcher.com/jobs/8a10a55ffee63d856d472868","title":"Data Engineer (DoD Secret | Remote)","description":"Data Engineer (DoD Secret | Remote)\n\nLocation: Remote (U.S. Based)\nClearance: Active DoD Secret Clearance (or higher)\n\nMake an Impact on Military Healthcare and Readiness\nJoin 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.\nYou'll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.\nIf you're passionate about data engineering, cloud-native systems, and mission-driven innovation, this is your opportunity to make a national impact.\nWhat You'll Do\nBuild and maintain end-to-end Ingest Transform Expose pipelines using Airflow, Spark, dbt, and Iceberg.\nIngest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases.\nMap datasets to FHIR and OMOP standards to enable interoperability and decision support.\nImplement schema versioning and governance to ensure traceability and audit-ready lineage.\nCollaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting.\nOptimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.\nWho You Are\n4+ years of experience in Data Engineering or Analytics Engineering\nProficient in SQL and Python, with experience building modular, version-controlled transformations\nHands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)\nStrong understanding of ETL/ELT design, data modeling, and governance in distributed systems\nFamiliar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures\nExcellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)\nPreferred / Bonus\nExperience with FHIR, OMOP, or HL7 data standards\nBackground in DoD, VA, or other federal health IT programs\nKnowledge of Responsible AI and NIST AI Risk Management Frameworks\nFamiliarity with complex operational data systems or readiness analytics\nAbout Rackner\nRackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.\nWe enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.\nOur 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.\nWhy You'll Love Working Here\nWeekly Pay and Full Remote Flexibility.\nProfessional Growth through paid certifications and training.\nComprehensive Benefits including 401(k) with 100% match up to 6%, PTO, medical/dental/vision, life & disability insurance.\nHome office equipment plan and supportive, inclusive team culture with mission impact.\nHashtags for Visibility\n\n#DataEngineering #DoDCleared #AWSData #Airflow #dbt #Spark #FHIR #RacknerCareers #FederalTech #AIReadyData","company":"Rackner","rawCompany":"rackner","city":"Remote","state":"OR","isRemote":true,"isActive":false,"createdAt":"2026-08-05T13:14:59.590Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer (DoD Secret | Remote)","description":"Data Engineer (DoD Secret | Remote)\n\nLocation: Remote (U.S. Based)\nClearance: Active DoD Secret Clearance (or higher)\n\nMake an Impact on Military Healthcare and Readiness\nJoin 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.\nYou'll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.\nIf you're passionate about data engineering, cloud-native systems, and mission-driven innovation, this is your opportunity to make a national impact.\nWhat You'll Do\nBuild and maintain end-to-end Ingest Transform Expose pipelines using Airflow, Spark, dbt, and Iceberg.\nIngest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases.\nMap datasets to FHIR and OMOP standards to enable interoperability and decision support.\nImplement schema versioning and governance to ensure traceability and audit-ready lineage.\nCollaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting.\nOptimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.\nWho You Are\n4+ years of experience in Data Engineering or Analytics Engineering\nProficient in SQL and Python, with experience building modular, version-controlled transformations\nHands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)\nStrong understanding of ETL/ELT design, data modeling, and governance in distributed systems\nFamiliar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures\nExcellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)\nPreferred / Bonus\nExperience with FHIR, OMOP, or HL7 data standards\nBackground in DoD, VA, or other federal health IT programs\nKnowledge of Responsible AI and NIST AI Risk Management Frameworks\nFamiliarity with complex operational data systems or readiness analytics\nAbout Rackner\nRackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.\nWe enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.\nOur 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.\nWhy You'll Love Working Here\nWeekly Pay and Full Remote Flexibility.\nProfessional Growth through paid certifications and training.\nComprehensive Benefits including 401(k) with 100% match up to 6%, PTO, medical/dental/vision, life & disability insurance.\nHome office equipment plan and supportive, inclusive team culture with mission impact.\nHashtags for Visibility\n\n#DataEngineering #DoDCleared #AWSData #Airflow #dbt #Spark #FHIR #RacknerCareers #FederalTech #AIReadyData","datePosted":"2026-08-05T13:14:59.590Z","dateModified":"2026-08-05T13:14:59.590Z","hiringOrganization":{"@type":"Organization","name":"Rackner","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8a10a55ffee63d856d472868"},"url":"https://jobsearcher.com/jobs/8a10a55ffee63d856d472868"}}