DoD Data Engineer - AI/ML Pipelines (Onsite)

Agile Defense, Inc.; Colorado Springs (CO); On-site; USD 145,000 - 165,000; Full time

Job summary

Agile Defense, Inc. is seeking a Data Engineer - SPACECOM to design, build, and deploy scalable data solutions for DoD mission-critical environments at Combatant Commands.

You will shape data pipelines, pre-processing workflows, feature engineering, and ML services in secure, containerized environments. The ideal candidate has a Bachelor's in CS/IS/Data Engineering and 3+ years in data engineering or software; strong Python/SQL, Spark, Databricks, and ML libraries.

Qualifications

• Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field and 3+ years of experience in data engineering or software engineering.
• Experience designing and managing complex data pipelines and data processing workflows.
• Knowledge of data validation, model testing, and deployment in secure environments.

Responsibilities

• Design, build, and deploy scalable data pipelines and AI-enabled data solutions.
• Develop pre-processing workflows and feature engineering strategies.
• Create and deploy ML services within secure, containerized environments.
• Collaborate with program managers, platform engineers, and mission stakeholders to deliver insights.

Skills

Data visualization

Python

SQL

Spark

ML deployment

MLOps

Communication

Education

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

Tools

Palantir Foundry

Databricks

Spark

scikit-learn

TensorFlow

XGBoost

PySpark

Job description

Agile Defense, Inc. is seeking a Data Engineer - SPACECOM to design, build, and deploy scalable data solutions for DoD mission-critical environments at Combatant Commands.

You will shape data pipelines, pre-processing workflows, feature engineering, and ML services in secure, containerized environments. The ideal candidate has a Bachelor's in CS/IS/Data Engineering and 3+ years in data engineering or software; strong Python/SQL, Spark, Databricks, and ML libraries.