Data Engineer (Various Locations)

Agile Defense provides adaptive technology solutions for important national security and critical civilian missions. The Data Engineer supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets while collaborating with data scientists, engineers, and mission stakeholders to process structured and unstructured data.

Responsibilities

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

Preferred

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

Palantir Foundry

Maven Smart Systems

War Data Platform

Docker

CI/CD

MLflow

API Development

Terraform

AWS

Azure

DoD Data Environments

Classified Network Environments

Combatant Command Support

JavaScript

TypeScript

Benefits

On-site work arrangement

Active Secret security clearance required; roles may require higher-level clearances, including TS/SCI, based on project assignment

Supportive atmosphere where collaboration flourishes, and collective success is celebrated

Culture of mutual respect, encouraging open communication, and a willingness to learn from one another

Company

National security and civilian mission IT, data, and cyber services

Mclean, Virginia, USA

https://agiledefense.com/

Founded in 1998

1001-5000 employees

Qualifications

This position requires candidates to be U.S. citizens and to possess, at minimum, an active Secret security clearance

Roles under this requisition may require higher-level clearances, including TS/SCI, which candidates must be able to obtain and maintain based on project assignment

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

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 US government security clearance

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

3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience.

Required skills

Python, SQL, ETL/ELT Pipelines, Databricks, Apache Spark, PySpark, Data Modeling, Data Validation, Data Quality, Active Secret Security Clearance, Version Control, Agile Development

Preferred skills

Exposure to Docker, CI/CD, MLflow, APIs, or Terraform, Familiarity with AWS or Azure, Prior Combatant Command support

Experience

3+ years