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Posted 14 days ago

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Data Engineer (Various Locations)

Peterson Space Force BaseOn-site

AI Summary

Data Engineer supporting secure data pipelines, ETL/ELT workflows, and analytics-ready datasets for defense missions, working with Databricks, Spark, Palantir Foundry, and related platforms.

About this role

About 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.

Job Title: Data Engineer
Location: On-Site, Various Locations (see below)
  • Peterson Space Force Base, CO
  • Stuttgart, Germany: Patch Barracks, Kelley Barracks
  • Falls Church, VA
  • Arlington, VA Pentagon
  • Ft. Meade, MD
  • Tampa, FL: MacDill AFB
  • Doral (Miami), FL: SOUTHCOM HQ
  • O'Fallon (St. Louis), IL: Scott AFB
  • Omaha, NE: Offutt AFB
  • Colorado Springs, CO: Peterson SFB
  • Honolulu, HI: Camp H.M. Smith
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.

Job Description

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.

Required Skills

  • Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field. Equivalent combinations of education, technical certification, and relevant professional experience may be considered.
  • 3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience.
  • Experience with Python and SQL familiarity with data validation, data modeling, and data-quality practices; familiarity with Spark, PySpark, Databricks, or comparable technologies
  • Experience supporting ETL/ELT pipelines and data transformations
  • Understanding of version control, testing, documentation, and Agile development
  • Ability to collaborate with technical and nontechnical stakeholders
  • Active US government security clearance
  • Preferred Skills

  • Experience with Palantir Foundry, Maven Smart Systems, or War Data Platform
  • Exposure to Docker, CI/CD, MLflow, APIs, or Terraform
  • Familiarity with AWS or Azure
  • Familiarity with DoD data environments and classified networks
  • Prior Combatant Command support
  • Solid Python and SQL skills with familiarity in JavaScript/TypeScript
  • Working Conditions

    Must be able to work onsite in a SCIF

    Skills

    APIsAWSAzureCI/CDDatabricksDockerETL/ELTGitJavaScriptMAVEN Smart SystemsMLflowPalantir FoundryPySparkPythonSparkSQLTerraformTypeScript

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