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# Data Engineer

- **Company:** Booz Allen Hamilton
- **Location:** Stuttgart, Germany (Remote available)
- **Experience:** Experienced
- **Salary:** €99,000.0 - €225,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Biometrics, Apache Hive, Automated Data Processing (ADP), Palantir Foundry, SC Clearance, Apache Kafka, Machine Learning Operations, Data Pipelines, Amazon Elastic Mapreduce (EMR)
- **Published:** October 8, 2026
- **Apply:** https://careers.boozallen.com/jobs/JobDetailApply?jobId=131548&source=CWS-17380

## About the Role

* 3+ years of experience developing and maintaining machine learning, AI-driven, or data-centric applications
 * 3+ years of experience designing, building, and operationalizing data and ML pipelines in production environments
 * 3+ years of experience retrieving, parsing, and processing structured, semi-structured, and unstructured data to support analytics, feature engineering, and model development
 * 3+ years of experience integrating large language models (LLMs) into analytic and ML workflows, including prompt design, inference orchestration, and automated data processing
 * Experience collaborating within cross-functional teams, such as data scientists, ML engineers, analysts, and platform engineers, to deliver end-to-end DS or ML solutions
 * Secret clearance
 * HS diploma or GED

Nice If You Have:

 * 3+ years of experience with Python, SQL, or TypeScript in data or ML engineering contexts
 * 3+ years of experience with UI and UX design
 * 3+ years of experience working with geospatial datasets, spatial analytics, or geospatial ML workflows
 * 3+ years of experience with distributed data and compute ecosystems, such as Spark, Databricks, Hadoop, Hive, AWS EMR, and Kafka, for large-scale ML workloads
 * Experience operating in a Combatant Command or international mission-focused environment and applying DS or ML methods to operational decision-making
 * Experience using Palantir Foundry for data modeling, pipeline development, or operational analytics
 * TS/SCI clearance preferred

## Description

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.