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# Data Engineer

- **Company:** Booz Allen
- **Location:** Stuttgart, Germany
- **Experience:** Experienced
- **Salary:** €77,500.0 - €176,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Data Analysis, Information Engineering, Extract Transform Load (ETL), Distributed Data Store, Fraud Prevention and Detection, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Parsing, Scaled Agile Framework, Software Engineering, SQL Databases, TypeScript, Unstructured Data, Cloud Platform System, Apache Spark, SC Clearance, Real Time Data, Apache Kafka, Data Management, Amazon Elastic Mapreduce (EMR), Databricks
- **Published:** May 23, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=1d4cf3c65cda857a

## About the Role

Do you have experience in TypeScript?, Do you have a Bachelor's degree?, * 5+ years of experience in application development

 * 5+ years of experience with designing, developing, operationalizing and maintaining complex data applications at enterprise scale
 * 3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
 * 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics
 * Experience creating solutions within a collaborative, cross-functional team environment
 * Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
 * Secret clearance
 * Bachelor's degree

Nice If You Have:

 * Experience with Python, SQL, or TypeScript
 * Experience with geospatial data
 * Experience with military exercise planning
 * 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 Palantir tools, such as Foundry
 * Experience with synthetic or bootstrapped data methods
 * Experience with Agile engineering practices
 * TS/SCI clearance

## Description

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.


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