Data Engineer

Agile Defense • Doral, FL

1d • $135,000 - $165,000 • Onsite

About The Position

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.

The position is based onsite at SOUTHCOM HQ in Doral (Miami), Florida, and requires work in a SCIF. Candidates must be U.S. citizens and hold at least an active Secret security clearance. Depending on project assignment, roles may require higher-level clearances, including TS/SCI, which candidates must be able to obtain and maintain.

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, 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.
• Ability to work onsite in a SCIF.

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.
• Ability to obtain and maintain higher-level clearances, including TS/SCI, when required by project assignment.

Responsibilities

• Develop and maintain secure data pipelines and ETL/ELT workflows.
• Create analytics-ready datasets and process structured and unstructured data.
• Collaborate with data scientists, engineers, and mission stakeholders.
• Support data transformations and data validation, modeling, and quality practices.

What This Job Offers

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