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Data Engineer

rackner.com Logo

Rackner

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

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’ll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.

Job Responsibility:

  • 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

Requirements:

  • 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)
  • Active DoD Secret Clearance (or higher)
  • U.S. Based

Nice 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
What we offer:
  • 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

Additional Information:

Job Posted:
December 11, 2025

Work Type:
Remote work
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