ClearanceJobs
Data Engineer
Join a mission-driven tech innovator at the forefront of national security and defense transformation. This organization leverages cutting-edge artificial intelligence, next generation sensor technology, and advanced data solutions to address some of the most critical challenges facing the U.S. today. You'll be part of a fast-growing, forward-thinking team composed of seasoned operators and tech visionariespeople deeply connected to the mission and passionate about building real-world solutions. The work is not only innovative, but also meaningful and high impact, shaping the future of defense technology. We are seeking a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force. The role involves creating resilient pipelines to power analytics and decision support systems. Primary Responsibilities
Design and manage secure data pipelines enabling ML and analytics workflows. Handle data ingestion, transformation, and validation with auditable, secure processes. Collaborate with mission engineers and data scientists to align infrastructure with operational objectives. Optimize data processing and storage for real-time and batch operations. Ensure compliance with DIA's data governance and cross-domain security standards. Required Experience
Active Secret clearance. 37 years in data engineering, preferably within secure, high-side environments. Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow). Experience with classified data management, secure networking, and infrastructure optimization. Preferred Experience
Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S). Strong troubleshooting and optimization skills within complex operational settings. Experience deploying LLMs or AI models within classified network environments (e.g., SIPR, JWICS).
Join a mission-driven tech innovator at the forefront of national security and defense transformation. This organization leverages cutting-edge artificial intelligence, next generation sensor technology, and advanced data solutions to address some of the most critical challenges facing the U.S. today. You'll be part of a fast-growing, forward-thinking team composed of seasoned operators and tech visionariespeople deeply connected to the mission and passionate about building real-world solutions. The work is not only innovative, but also meaningful and high impact, shaping the future of defense technology. We are seeking a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force. The role involves creating resilient pipelines to power analytics and decision support systems. Primary Responsibilities
Design and manage secure data pipelines enabling ML and analytics workflows. Handle data ingestion, transformation, and validation with auditable, secure processes. Collaborate with mission engineers and data scientists to align infrastructure with operational objectives. Optimize data processing and storage for real-time and batch operations. Ensure compliance with DIA's data governance and cross-domain security standards. Required Experience
Active Secret clearance. 37 years in data engineering, preferably within secure, high-side environments. Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow). Experience with classified data management, secure networking, and infrastructure optimization. Preferred Experience
Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S). Strong troubleshooting and optimization skills within complex operational settings. Experience deploying LLMs or AI models within classified network environments (e.g., SIPR, JWICS).