Rackner
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.
Data Engineer, DoD Secret
October 29
Rackner
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 for analytics and AI/ML use cases. • Map datasets to FHIR and OMOP standards. • Implement schema versioning and governance to ensure traceability. • Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets. • Optimize data performance across distributed environments while ensuring compliance.
🎯 Requirements
• 4+ years of experience in Data Engineering or Analytics Engineering • Proficient in SQL and Python • Hands-on with Apache Airflow and Apache Spark • Strong understanding of ETL/ELT design • Familiar with AWS (Glue, S3, Lambda, Athena, EMR) • Excellent collaboration skills in cross-functional environments
🏖️ Benefits
• Weekly Pay • Paid Certifications • Full Benefits • Remote Flexibility • 401(k) 100% Match (up to 6%) • Training & Career Growth • Medical / Dental / Vision • Work Anywhere in the U.S. • Generous PTO • Comprehensive health coverage • Life insurance • Short- and long-term disability insurance • Home office equipment plan for remote productivity • Supportive, inclusive team culture with mission impact
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