Information Operations Data Engineer
Summary
Forward-deployed data engineer in Stuttgart owning end-to-end delivery of data and AI solutions for mission owners — building scalable data pipelines and agentic AI workflows with Python, SQL, Scala and platforms like Palantir Foundry and LLM orchestration. Requires TS/SCI clearance and 5+ years of experience.
As a forward-deployed Data Engineer, you own end-to-end data and AI solution delivery to support mission owners in making timely, trustworthy decisions. You work directly with end users to design scalable, high-performance data solutions, spanning development, deployment, and sustainment. You’ll guide customers through new technologies, balancing fast delivery with long-term resilience across multi-project programs. This role combines full-stack engineering, data engineering, and agentic AI workflows to shape operational tools that meet evolving mission needs. A strong hook is the opportunity to impact critical outcomes at the source of the mission in a fast-paced, collaborative environment.
Leistungen / Benefits- health benefits
- life insurance
- disability benefits
- retirement benefits
- paid leave
- professional development
- Own full lifecycle of data and AI solutions from requirements to sunsetting
- Collaborate with end users to build, operate, and maintain scalable data systems
- Guide customers through emerging technologies and tailor solutions to workflows
- Support multiple concurrent projects across full-stack development, data engineering, modeling and simulation, and agentic AI workflows
- Continuously explore new services and platforms to ensure long-term mission resilience
- Engage directly with mission users to co-create operational tools
- 5+ years of application development and full-stack engineering in production
- 5+ years building enterprise-scale data applications, architectures, and pipelines (e.g., Palantir Foundry, AIP, Gotham; War Data Platform Advana)
- 5+ years ETL/ELT pipeline experience for structured and unstructured data at scale
- 3+ years translating requirements to senior mission stakeholders and communicating to both non-technical and technical audiences
- 3+ years embedded with end users
- 2+ years deploying agentic AI workflows, autonomous data pipelines, and multi-agent orchestration on LLM platforms
- Experience managing the full lifecycle of technical product development (requirements to decommissioning)
- Ability to rapidly learn new platforms and stay platform-agnostic
- TS/SCI clearance
- Bachelor’s degree
- Excellent communication with senior stakeholders
- Strong collaboration and cross-functional teamwork
- Ability to thrive in fast-paced, ambiguous environments
- Python
- SQL
- Scala