Data Engineer

Agile Defense • Falls Church, VA

2d • $135,000 - $165,000 • Onsite

About The Position

Agile Defense is hiring a Data Engineer to support the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets. The role works with data scientists, engineers, and mission stakeholders to process structured and unstructured data using platforms such as Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable technologies.

The position is based in Falls Church, Virginia, and requires onsite work in a SCIF. Candidates must be U.S. citizens with at least an active Secret security clearance. Depending on project assignment, candidates may need to obtain and maintain a higher-level clearance, including TS/SCI.

Requirements

• 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.
• At least 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 U.S. government security clearance; candidates must be U.S. citizens and possess at least an active Secret clearance.
• Must be able to work onsite in a SCIF.
• Must be able to obtain and maintain higher-level clearances, including TS/SCI, if required by project assignment.

Nice To Haves

• 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.

Responsibilities

• Develop and maintain secure data pipelines, ETL/ELT workflows, and analytics-ready datasets.
• Work with data scientists, engineers, and mission stakeholders to process structured and unstructured data.
• Support ETL/ELT pipelines and data transformations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level