Data Engineer - Fort Meade
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 Databricks, Spark, Palantir Foundry, Maven Smart Systems, or comparable platforms. The position is based onsite in a SCIF at Fort Meade, Maryland, and requires U.S. citizenship and at least an active Secret security clearance. Some assignments may require candidates to obtain and maintain higher-level clearances, 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 familiarity with 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.
- Ability to work onsite in a SCIF.
- Ability 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 and ETL/ELT workflows.
- Create and support analytics-ready datasets and data transformations.
- Process structured and unstructured data using relevant data platforms.
- Collaborate with data scientists, engineers, and mission stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
