Data Engineer
Summary
Data Engineer at Booz Allen Hamilton in Stuttgart building and maintaining scalable data pipelines and AI/LLM-powered, agentic solutions for intelligence missions. Day-to-day blends data engineering (ingestion, warehousing, ETL/ELT, cloud) with Generative AI integration in an Agile, cross-functional team.
In this role you will design, build and maintain scalable data and AI solutions to support mission-focused intelligence objectives. You will work with data scientists, analysts and software developers to ensure technical solutions align with operational needs. You will develop data pipelines, integrate AI-enabled services and agentic automation to drive impactful outcomes. This position blends data engineering with Generative AI capabilities in a fast-paced, collaborative environment.
Leistungen / Benefits- health, life, disability, and retirement benefits
- paid leave
- professional development and tuition assistance
- work-life programs
- recognition awards
- total compensation considerations
- design, build, and maintain scalable data and AI solutions for mission systems
- orchestrate data collection, ingestion, storage, processing, modeling, warehousing and retrieval
- develop and integrate AI-enabled services, LLM-based workflows, and agentic automation
- collaborate with data scientists, analysts, software developers and stakeholders
- focus on data architecture, pipeline development, cloud engineering, and AI integration in an Agile setting
- 5+ years of experience in application development
- 5+ years designing and maintaining complex data applications at enterprise scale
- 3+ years creating software for retrieving, parsing and processing structured and unstructured data
- 3+ years building scalable ETL and ELT workflows for reporting and analytics
- 2+ years developing agentic workflows
- TS/SCI clearance
- Bachelor’s degree in Computer Science, Operations Research, or Data Science
- cross-functional collaboration
- agile teamwork
- effective communication
- Python
- SQL
- HTML