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Data Engineer - AFRICOM

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EMP:Technology
Stuttgart, Germany
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Agile Defense   At Agile Defense we know that action defines the outcome and new challenges require new solutions

That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.

  Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Requisition #: 1759 Job Title: Data Engineer - AFRICOM Location: On-Site, Stuttgart, Germany Clearance Level: Top Secret / SCI, Must Have Clearance to Start Job DescriptionAgile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program.

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands.

  You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments.

The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise.

You will collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools.

  This role requires strong technical communication.

Habilidades

, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery

Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services is highly preferred.

Education and Background A bachelor's degree plus 3 years of recent specia.

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