Data Engineer - CDAO (On-Site, TS/SCI)

Agile Defense, LLC; Washington (District of Columbia); On-site; USD 145,000 - 165,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Holiday Pay

Disability Insurance

Retirement

Learning & Development

Other benefit elections

Job summary

Agile Defense, LLC is seeking a Data Engineer for the CDAO program to design, develop, and deploy scalable AI-enabled data solutions within secure DoD environments. You will work on data pipelines, pre-processing workflows, feature engineering, and machine learning services in containerized setups.

The ideal candidate combines statistical modeling fluency with software engineering, collaborating with product managers, platform engineers, and mission stakeholders to turn raw data into

Qualifications

• Bachelor's degree in CS/IS/Data Eng or related field; 3+ years in data/software engineering.
• Strong Python/SQL skills and experience with data pipelines and ML workflows.
• Experience deploying ML models and working in agile environments with reproducibility.

Responsibilities

• Design, develop, and deploy scalable AI-enabled data solutions for DoD CDAO projects.
• Shape data pipelines, pre-processing, feature engineering, and ML services.
• Collaborate with product managers, developers, and stakeholders to generate insights.

Skills

Python

SQL

Spark

Data storytelling

ML concepts

MLOps

APIs

Technical communication

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

Master's degree preferred

Tools

Palantir Foundry

Databricks

AWS

Azure

TensorFlow

scikit-learn

Job description

Agile Defense, LLC is seeking a Data Engineer for the CDAO program to design, develop, and deploy scalable AI-enabled data solutions within secure DoD environments. You will work on data pipelines, pre-processing workflows, feature engineering, and machine learning services in containerized setups.

The ideal candidate combines statistical modeling fluency with software engineering, collaborating with product managers, platform engineers, and mission stakeholders to turn raw data into