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Agile Defense is seeking a Data Engineer to design and maintain secure data pipelines and analytics-ready datasets supporting our government missions. The role collaborates with data scientists, engineers, and stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, and related platforms.
On-site work is required in SCIF environments, and candidates must be U.S. citizens with an active security clearance.
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.
Job Title: Data Engineer
Location: On-Site, Various Locations (see below)
Clearance Level: This position requires candidates to be U.S. citizens and to possess, at minimum, an active Secret security clearance. Roles under this requisition may require higher-level clearances, including TS/SCI, which candidates must be able to obtain and maintain based on project assignment.
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.
Supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets. Works with data scientists, engineers, and mission stakeholders to process structured and unstructured data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms.
Must be able to work onsite in a SCIF
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.