Information Operations Data Engineer

Information Operations Data EngineerThe 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 Advana5+ years of experience building ETL and ELT pipelines, data transformation workflows, and solutions for structured and unstructured data processing at scaleExperience working directly with senior mission stakeholders, translating requirements and communicating dense technical information clearly to non‑technical and technical audiencesExperience 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 platformsTS/SCI clearance Bachelor’s degree or 10+ years of experience with Data Engineering in a professional work environment in lieu of a degreeNice 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 dataExperience with military exercisesExperience 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 methodExperience with Agile engineering practicesClearance: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.  CompensationAt 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 total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work ModelOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.SummaryLocation: Stuttgart, Baden-WurttembergType: Full time