Data Engineer - AI Pipelines (SCIF Onsite)

Agile Defense, LLC; Scott Air Force Base (IL); On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Holiday Pay

Disability (short-term & long-term)

Retirement

Learning and Development opportunities

Job summary

Agile Defense is seeking a Data Engineer for TRANSCOM to design, develop, and deploy scalable, AI-enabled data solutions within the DoD’s CDAO ADA IR program. You will build data pipelines, handle pre-processing, and craft ML services in secure, containerized environments at a mission-critical scale.

The ideal candidate has a blend of statistical modeling and software engineering skills, with strong communication and Agile experience, and familiarity with cloud data platforms like Databricks or

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 3+ years of data engineering or software engineering experience.

Responsibilities

• Design, develop, and deploy scalable data pipelines.
• Implement pre-processing workflows and feature engineering strategies.
• Develop ML services in secure, containerized environments.
• Collaborate with product managers, developers, and stakeholders to transform data into insights.
• Support agile practices, reproducibility, testing, and continuous delivery.

Skills

Python

SQL

Spark

Databricks

PySpark

Education

Bachelor's degree in CS/IS/Data Engineering

Tools

Palantir Foundry

MSS Workshop

Slate

Job description

Agile Defense is seeking a Data Engineer for TRANSCOM to design, develop, and deploy scalable, AI-enabled data solutions within the DoD’s CDAO ADA IR program. You will build data pipelines, handle pre-processing, and craft ML services in secure, containerized environments at a mission-critical scale.

The ideal candidate has a blend of statistical modeling and software engineering skills, with strong communication and Agile experience, and familiarity with cloud data platforms like Databricks or