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Data Engineer (DoD Secret | Remote)

1 week, 5 days ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow Apache Spark AWS dbt DevSecOps JSON Python SQL Trino
Apply Now
Rackner

Rackner

Rackner specializes in providing cloud native consultancy services, focusing on innovative solutions for enterprises and startups, including application development, cloud architecture, and the integration of DevSecOps and AI technologies.

Internet Software & Services
11-50
Founded 2015
View All Jobs 5

Description

  • Build and maintain end-to-end ingest, transform, and expose data pipelines using Airflow, Spark, dbt, and Iceberg.
  • Ingest and normalize structured and unstructured data sources including HL7, FHIR, PDF, and JSON for analytics and AI/ML use cases.
  • Map datasets to FHIR and OMOP standards to support interoperability and decision support.
  • Implement schema versioning and governance to ensure traceability and audit-ready data 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.
  • Ensure compliance with DoD Responsible AI and NIST AI Risk Management frameworks.
  • Work with cross-functional teams in secure, cloud-native environments to support mission-critical data initiatives.

Requirements

  • 4+ years of experience in Data Engineering or Analytics Engineering.
  • Proficiency in SQL and Python, including experience building modular, version-controlled transformations.
  • Hands-on experience with Apache Airflow, Apache Spark, dbt, and data lake frameworks such as Iceberg, Trino, and Athena.
  • Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems.
  • Familiarity with AWS services including Glue, S3, Lambda, Athena, and EMR.
  • Active DoD Secret Clearance or higher.
  • Excellent collaboration skills with experience working across DevSecOps, Data Science, and Security teams.
  • Experience with FHIR, OMOP, or HL7 data standards preferred.
  • Background in DoD, VA, or other federal health IT programs preferred.
  • Knowledge of Responsible AI and NIST AI Risk Management Frameworks preferred.

Benefits

  • Weekly pay.
  • Full remote flexibility for U.S.-based candidates.
  • Paid certifications and training for professional growth.
  • 401(k) with 100% match up to 6%.
  • Medical, dental, and vision insurance.
  • Life and disability insurance.
  • PTO.
  • Home office equipment plan.

Interested in this position?

Apply directly on the company website

Apply Now

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