Information Operations Data Engineer at Booz Allen in Stuttgart

Job description

Information Operations Data Engineer The Opportunity: 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. The world can’t wait. You Have: 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 and ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scale Experience working directly with senior mission stakeholders, translating requirements and communicating dense technical information clearly to non‑technical and technical audiences 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 TS/SCI clearance Bachelor’s degree or 10+ years of experience with Data Engineering in a professional work environment in lieu of a 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our tota