Data Engineer – DoD Secret

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Rackner

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

🤖 Artificial Intelligence

🔐 Security

Enterprise • Artificial Intelligence • Security

Rackner is a technology company specializing in applying emerging technologies to mission-critical problems in both the public and private sectors. As a Kubernetes Certified Service Provider, Rackner's experienced engineers manage large clusters in production environments for major organizations. The company focuses on cloud-native solutions, DevSecOps, AI, and platform development to modernize business-critical applications. Rackner is also involved in developing innovative systems using Edge, IoT/Mobile, and VR technologies. The company has been recognized on the Inc 5000 List of Fastest Growing Companies and has secured significant contracts with the Department of Defense and the Department of Homeland Security.

📋 Description

• 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)

🏖️ Benefits

• 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.