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Agile Defense

Data Engineer

Agile Defense
Colorado Springs, CO $150k - $170k/yr Full time Posted 1d ago
Artificial Intelligence Big Data Cloud Platform Data Analysis Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Security Databases Databricks ETL Palantir Mss Workshop Palantir Slate SQL
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Job Description

On-site Data Engineer supporting NORTHCOM at Agile Defense in Colorado Springs, holding a Top Secret clearance to design, develop, and deploy scalable AI-enabled data solutions and data pipelines within secure DoD environments.

Responsibilities

  • Lead the design, development, and production deployment of scalable AI-enabled data solutions within the DoD's CDAO ADA IR program.
  • Architect and implement data pipelines, preprocessing workflows, feature engineering strategies, and ML services inside secure, containerized environments.
  • Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders to turn raw data into actionable insights and decision-support tools.
  • Operate in agile environments that prioritize reproducibility, testing, and continuous delivery.

Requirements

  • Clearance: Top Secret; must be cleared to start.
  • Education: Typically a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; master's degree preferred.
  • Experience: 3+ years in data engineering or software engineering with proven ability to design and manage complex data pipelines, or equivalent relevant work experience.
  • Skills: Experience with data visualization and storytelling using Palantir MSS Workshop and Slate applications.

Technologies

  • Python
  • SQL
  • Spark
  • Databricks
  • PySpark
  • Palantir Foundry
  • Palantir MSS Workshop
  • Palantir Slate
  • scikit-learn
  • TensorFlow
  • XGBoost
  • AWS
  • Azure

About Agile Defense

Agile Defense emphasizes action-driven outcomes and welcomes evolving challenges, maintaining a forward-looking mindset and the resolve to build for what lies ahead. Our vision is to bring adaptive innovation to support our nation's missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility, leveraging speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

Education and Background

  • Education: Typically a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; Master's degree preferred.
  • Experience: 3+ years in data engineering or software engineering with demonstrated experience designing and managing complex data pipelines, or equivalent relevant work experience.
  • Equivalent experience: Equivalent relevant work experience may substitute for education requirements; for example, each year of work experience may substitute for a year of education.

Years of Experience

3+ years

Required Skills

  • Experience with data visualization and storytelling using Palantir MSS Workshop and Slate applications.

Preferred Skills

  • 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
  • Proficient in Python, SQL, and distributed data frameworks such as Spark, Databricks, and PySpark.
  • Experience developing ML models from training to deployment using libraries like scikit-learn, TensorFlow, and XGBoost.
  • Familiarity with MLOps, API development, and secure cloud environments such as AWS, Azure, and Palantir Foundry.
  • Strong data validation, model testing, and performance evaluation techniques.
  • Excellent technical communication skills for explaining complex concepts to non-technical audiences.

Working Conditions

  • Must be able to work onsite at a SCIF.

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