On-Site Data Engineer: AI Pipelines (TS/SCI, SCIF)

Agile Defense

Washington (District of Columbia)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Agile Defense is seeking a Data Engineer to design, develop, and deploy AI-enabled data solutions within DoD programs. You will help build data pipelines, pre-processing workflows, feature engineering strategies, and ML services in secure, containerized environments.

The role requires strong Python/SQL skills, experience with Spark/Databricks, and familiarity with cloud platforms (AWS/Azure). A Bachelor's degree (Masters preferred) and 3+ years in data engineering or software engineering are

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering or related field (masters preferred).
  • 3+ years of experience in data engineering or software engineering.
  • Experience designing and managing complex data pipelines.

Responsibilities

  • Design, develop, and deploy scalable AI-enabled data solutions for DoD CDAO ADA IR program.
  • Shape data pipelines, pre-processing workflows, feature engineering, and ML services in secure containers.
  • Collaborate with product managers, developers, and stakeholders to transform data into insights.

Skills

Python/PySpark
SQL
Distributed data frameworks
ML model deployment
MLOps
APIs
Cloud platforms (AWS/Azure)
Data validation
Data visualization

Education

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

Tools

Palantir Foundry
Databricks
Spark / PySpark
AWS / Azure
TensorFlow
scikit-learn
XGBoost

Job description

Agile Defense is seeking a Data Engineer to design, develop, and deploy AI-enabled data solutions within DoD programs. You will help build data pipelines, pre-processing workflows, feature engineering strategies, and ML services in secure, containerized environments.

The role requires strong Python/SQL skills, experience with Spark/Databricks, and familiarity with cloud platforms (AWS/Azure). A Bachelor's degree (Masters preferred) and 3+ years in data engineering or software engineering are

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