Job Description
Data Engineer Build sophisticated ETL pipelines and data processing systems for mission-critical DoD applications. Design data governance frameworks ensuring compliance with federal requirements while maintaining high throughput and low latency for systems supporting tens of thousands of concurrent users, workflow automation, and AI-driven analytics. Architect data pipelines for streaming and batch processing, design data transformation logic, and build monitoring systems for data quality and lineage. Work with multiple data stores, implement field-level encryption, and ensure proper access controls across all data layers. Build data infrastructure supporting workflow engines, robotic process automation systems, and AI prompt engineering that dynamically answers complex questions. Solve algorithmic challenges around efficient data transformation, deduplication at scale, and maintaining data consistency across distributed systems. Design data models supporting complex authorization requirements, workflow state tracking, automation audit trails, and AI training datasets. Work on real problems: processing sensitive data across multiple classification levels, implementing sophisticated encryption schemes, ensuring data integrity throughout complex pipelines, and preparing datasets for AI-driven analysis. Required: Active TS/SCI with CI Poly, 4+ years data engineering, ETL/data processing at scale, data governance, DoD familiarity. #Java Bonus: Algorithm design, distributed systems, streaming data platforms. This company specializes in advanced hardware and software solutions for the Department of Defense. We are a small, agile company with a reputation for solving problems others cannot. No bureaucracy, no trade shows - we move fast and ship solutions that directly support national security missions. You will work on sophisticated authorization systems, high-performance data processing, advanced encryption, distributed architectures at massive scale, workflow automation, robotic process automation, and AI-driven solutions. Real technical challenges with real impact.