Information Operations Data Engineer
Booz Allen Hamilton29 days ago
Stuttgart, GermanySenior
Base Salary
$78k - $176k/yr
Responsibilities
- Partner directly with mission users and senior stakeholders to discover requirements and translate operational needs into technical solutions.
- Build, operationalize, maintain, deploy, and eventually sunset scalable enterprise data applications, architectures, and pipelines.
- Develop ETL and ELT pipelines and data transformation workflows for structured and unstructured data at scale.
- Build and deploy agentic AI workflows, autonomous data pipelines, modeling and simulation systems, and multi-agent orchestration on existing LLM platforms.
- Support full-stack development, data science, data engineering, modeling and simulation, and AI solution delivery across multiple concurrent projects.
- Guide customers on emerging technologies and integrate services, platforms, and capabilities into their existing ecosystems.
- Conduct development, testing and evaluation, deployment, training, sustainment, and lifecycle management of data and AI solutions.
Requirements
- 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, including platforms such as Palantir Foundry, AIP, Gotham, or Advana.
- 5+ years of experience building ETL and ELT pipelines, data transformation workflows, and structured and unstructured data processing solutions at scale.
- Experience communicating technical information to technical and non-technical audiences and working directly with senior mission stakeholders.
- Experience deploying agentic AI workflows, autonomous data pipelines, and modeling and simulation systems into production, including multi-agent orchestration on LLM platforms.
- TS/SCI clearance is required.
- Bachelor’s degree or 10+ years of professional Data Engineering experience in lieu of a degree.
- Preferred experience includes Python, SQL, Scala, Java, geospatial data, distributed computing, real-time data, streaming applications, synthetic or bootstrapped data methods, and military or Department of War environments.
- Preferred distributed data and computing experience includes Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
Benefits
- Health, life, disability, financial, and retirement benefits are offered.
- Benefits include paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards.
- Full-time and part-time employees working at least 20 hours per week on a regular basis may participate in Booz Allen benefit programs, subject to eligibility rules.
- The work model may be remote, hybrid, or onsite depending on the posting, with possible work at Booz Allen or customer facilities and camera use generally expected during virtual meetings.
Tech Stack
Categories
Data EngineeringForward Deployed
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).