Data Engineer (Secret Clearance) — Mission-Critical Pipelines

Agile Defense, LLC

Florida

On-site

USD 135,000 - 165,000

Full time

3 days ago
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Job summary

Agile Defense, LLC in Doral (Miami), FL is seeking a Data Engineer to design and maintain secure data pipelines for mission-critical analytics. You will work with data scientists and engineers to process structured and unstructured data using Databricks, Spark, Palantir Foundry, and related platforms while adhering to DoD security requirements.

The role requires a BS in a technical field, 3+ years of data engineering or related experience, strong Python and SQL skills, ETL/ELT expertise, and an

Qualifications

  • Bachelor's degree in a technical field.
  • 3+ years of data engineering, software development, data analytics, or related experience.
  • Experience with Python and SQL; familiarity with Spark, PySpark, Databricks or similar tech.
  • 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.

Responsibilities

  • Supports the development and maintenance of secure data pipelines and analytics-ready datasets.
  • Collaborates with data scientists, engineers, and mission stakeholders across platforms.

Skills

Python
SQL
Spark
ETL/ELT
Agile development
Collaboration
Security clearance

Education

Bachelor's degree in a technical field

Tools

Palantir Foundry
Maven Smart Systems
War Data Platform
Docker
CI/CD
MLflow
APIs
Terraform
AWS
Azure

Job description

Agile Defense, LLC in Doral (Miami), FL is seeking a Data Engineer to design and maintain secure data pipelines for mission-critical analytics. You will work with data scientists and engineers to process structured and unstructured data using Databricks, Spark, Palantir Foundry, and related platforms while adhering to DoD security requirements.

The role requires a BS in a technical field, 3+ years of data engineering or related experience, strong Python and SQL skills, ETL/ELT expertise, and an

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