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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Information Operations Data Engineer - **Company:** Booz Allen Hamilton - **Location:** Stuttgart, Germany - **Experience:** Experienced - **Salary:** €77,500.0 - €176,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Geographic Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Distributed Data Store, Apache Hadoop, Apache Hive, Python (Programming Language), Scala (Programming Language), Scaled Agile Framework, Software Engineering, SQL Databases, Unstructured Data, Large Language Models, Multi-Agent Systems, Apache Spark, Modeling and Simulation, Real Time Data, Apache Kafka, Data Management, Virtual Agents, Data Pipelines, Amazon Elastic Mapreduce (EMR), Databricks - **Published:** August 28, 2026 - **Apply:** https://www.careerjet.de/jobad/debbbe75f11a8fb4a811e49a4698356a61 ## About the Role 5+ years of experience with application development and full-stack engineering in production environments 5+ years of experience developing, operationalizing, and maintaining complex, enterprise-scale data applications, architectures, and pipelines, such as Palantir, including Foundry, AIP, or Gotham, and War Data Platform, such as Advana 5+ years of experience building ETL/ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scale 3+ years of experience working directly with senior mission stakeholders, translating requirements and communicating dense technical information clearly to non-technical and technical audiences 3+ years of experience working embedded with end users 2+ years of experience building and deploying agentic AI workflows, autonomous data pipelines, and modeling and simulation systems into production, including designing and implementing multi-agent orchestration on top of existing LLM platforms Experience supporting the full lifecycle of technical product development, including requirements gathering, decomposition, synthesis, development, testing, deployment, training, sustainment, and decommissioning and migration Ability to rapidly learn new platforms and navigate tool ecosystems and remaining platform agnostic TS/SCI clearance Bachelor's degree Nice If You Have: Experience with Python, SQL, Scala, or Java Experience working with Department of War customers Experience working at a Combatant Command or in an international environment Experience with geospatial data Experience with military exercises Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with synthetic or bootstrapped data method Experience with Agile engineering practices ## Description In today's operational environment, mission owners rely on timely, trustworthy, and scalable data capabilities to plan, decide, and act. As a forward-deployed Data Engineer, you will partner directly with end users to help them build, operate, and maintain high performance, scalable, and reliable data solutions that meet evolving mission demands. You won't just write code, you will own the full lifecycle of data and AI solution delivery, from requirements discovery and synthesis to development, test and evaluation, deployment, training, sustainment, and eventual sunsetting. You will guide customers through emerging technologies, helping them understand what is possible while rapidly engineering solutions tailored to their workflows. You'll support multiple concurrent projects, switching seamlessly between full-stack development, data science, data engineering, modeling and simulation, and agentic AI workflows, always selecting the right tool for the right problem. You will continually explore and integrate new services, platforms, and capabilities within the customer's ecosystem to ensure long-term mission resilience. If you thrive in fast-paced, ambiguous, highly collaborative environments and enjoy working directly with mission users to co-create operational tools, this role is your opportunity to drive impact at the source of the mission. Join us. 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