On-Site Data Engineer for DoD Mission Pipelines

Agile Defense; United States; On-site; USD 90,000 - 150,000; Full time

Job summary

Agile Defense is hiring a Data Engineer to support the development and maintenance of secure data pipelines and analytics-ready datasets. You will collaborate 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 role requires a Bachelor’s degree in a technical field, 3+ years of data engineering experience, strong Python/SQL skills, and an active U.S.

Qualifications

• Requires a Bachelor’s degree in a technical field
• 3+ years in data engineering/software/data analytics
• Proficient in Python and SQL with data validation/modeling
• Experience with ETL/ELT pipelines and data transformations
• Knowledge of version control, testing, documentation, and Agile development
• Ability to collaborate with technical and nontechnical stakeholders
• Active US government security clearance

Responsibilities

• Supports development and maintenance of secure data pipelines and analytics-ready datasets
• Works with data scientists, engineers, and mission stakeholders to process data using Databricks, Spark, Palantir Foundry, Maven Smart Systems, or similar platforms

Skills

Bachelor's degree

3+ years

Python

SQL

ETL/ELT

Agile

Security clearance

Education

Bachelor’s degree in CS/related field

Tools

Palantir Foundry

Maven Smart Systems

War Data Platform

Docker

CI/CD

MLflow

APIs

Terraform

Job description

Agile Defense is hiring a Data Engineer to support the development and maintenance of secure data pipelines and analytics-ready datasets. You will collaborate 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 role requires a Bachelor’s degree in a technical field, 3+ years of data engineering experience, strong Python/SQL skills, and an active U.S.