Data Engineer (DoD Secret | Remote)

Overview

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.

In Short

• Join Rackner to modernize secure data infrastructure for a critical defense health program.
• Design and scale data pipelines that transform raw information into actionable intelligence.
• Build and maintain end-to-end data pipelines using Airflow, Spark, dbt, and Iceberg.
• Ingest and normalize structured and unstructured data for analytics and AI/ML use cases.
• Map datasets to FHIR and OMOP standards for interoperability.
• Implement schema versioning and governance for traceability.
• Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets.
• Optimize data performance across distributed environments.
• Ensure compliance with DoD Responsible AI and NIST AI Risk Management frameworks.
• Make a national impact through your work in data engineering.

Requirements

• 4+ years of experience in Data Engineering or Analytics Engineering.
• Proficient in SQL and Python.
• Experience with Apache Airflow, Apache Spark, dbt, and data lake frameworks.
• Strong understanding of ETL/ELT design and data modeling.
• Familiar with AWS services and cloud-native data architectures.
• Excellent collaboration skills in cross-functional environments.

Benefits

• Weekly Pay.
• Paid Certifications.
• Full Benefits including health coverage.
• 401(k) 100% Match (up to 6%).
• Training and Career Growth opportunities.
• Generous PTO.
• Home office equipment plan for remote productivity.
• Supportive, inclusive team culture.