Data Engineer (DoD Secret | Remote)

13 Minutes ago • 4 Years +

Data Analysis

Job Description

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 will help design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments. This role involves building and maintaining end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg, and ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.

Good To Have:

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

Must Have:

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)

Perks:

Weekly Pay
Paid Certifications
Full Benefits (Medical / Dental / Vision)
Remote Flexibility (Work Anywhere in the U.S.)
401(k) 100% Match (up to 6%)
Training & Career Growth
Generous PTO and comprehensive health coverage
Life, short- and long-term disability insurance
Home office equipment plan for remote productivity
Supportive, inclusive team culture with mission impact

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🛰️ Data Engineer (DoD Secret | Remote)

Clearance: Active DoD Secret Clearance (or higher)

💡 Make an Impact on Military Healthcare and Readiness

Join 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 help 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 chance 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

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.