Rackner1d ago
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Data Engineer (DoD Secret | Remote)
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Data EngineerData
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Quick Summary
Overview
Data Engineer (DoD Secret | Remote) Location: Remote (U.S.
Technical Tools
Data EngineerData
- 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.
Responsibilities
~1 min read- →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.
- 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)
Nice to Have
~1 min read- 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
- 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.
- 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
Location & Eligibility
Where is the job
Worldwide
Fully remote, anywhere in the world
Who can apply
Same as job location
Listing Details
- Posted
- July 8, 2026
- First seen
- July 8, 2026
- Last seen
- July 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- July 8, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust

Rackner
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Rackner, Inc. is a cloud-native consultancy specializing in DevSecOps, AI, and cloud architecture to help enterprises and startups with digital transformation. They offer services in application development, modernization, and building solutions for datacenter, cloud, and edge environments.
View company profileExternal application · ~5 min on Rackner's site
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