Data Engineer: AI-Enabled Pipelines for Defense (Onsite)

Agile Defense, Inc.

Shiloh (IL)

On-site

USD 130,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Health Insurance
Life Insurance
Paid Time Off
Holiday Pay
Disability Insurance
Retirement Benefits
Learning and Development opportunities

Job summary

Agile Defense, Inc. seeks a Data Scientist/Engineer to design, develop, and deploy AI-enabled data solutions for DoD programs.

Based at Scott AFB, IL, the role blends analytics, ML, and software engineering to deliver scalable data pipelines and decision-support tools in secure, containerized environments. The ideal candidate has 3+ years in data or software engineering, a Bachelor's in CS/IS/Data Engineering (Master's preferred), and experience with Databricks, Palantir, AWS, Spark, and ML

Qualifications

  • 3+ years of data engineering or software engineering experience.
  • Bachelor's degree in CS/IS/Data Engineering or related field; master's preferred.
  • Experience with data pipelines, pre-processing, feature engineering, and ML services.

Responsibilities

  • Help shape and deploy data pipelines and pre-processing workflows.
  • Develop ML models from training to deployment, with reproducibility and testing.
  • Collaborate with product managers, platform engineers, and mission stakeholders in agile environments.

Skills

Data storytelling

Education

Bachelor's in CS / IS / Data Engineering
Master's degree preferred

Tools

Palantir Foundry
Databricks
AWS
Spark
PySpark
TensorFlow
XGBoost

Job description

Agile Defense, Inc. seeks a Data Scientist/Engineer to design, develop, and deploy AI-enabled data solutions for DoD programs.

Based at Scott AFB, IL, the role blends analytics, ML, and software engineering to deliver scalable data pipelines and decision-support tools in secure, containerized environments. The ideal candidate has 3+ years in data or software engineering, a Bachelor's in CS/IS/Data Engineering (Master's preferred), and experience with Databricks, Palantir, AWS, Spark, and ML

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