Data Engineer

Agile Defense; Colorado Springs (CO); On-site; USD 150,000 - 170,000; Full time

Job summary

Agile Defense in Colorado Springs is seeking a Data Engineer to design, build, and deploy scalable, AI-enabled data solutions within secure DoD environments. This on-site role requires Top Secret clearance to start and offers a salary of USD 150,000–170,000 per year.

You will collaborate with product managers and engineers to transform raw data into actionable insights for the CDAO ADA IR program, emphasizing reproducibility, testing, and secure deployment in SCIF environments.

Qualifications

• Top Secret clearance required to start.
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field; master's degree preferred.
• 3+ years in data engineering or software engineering designing and managing complex data pipelines.

Responsibilities

• Architect and implement scalable, AI-powered data solutions and pipelines under the DoD’s CDAO ADA IR program, ensuring secure deployment.
• Design, preprocess, and orchestrate data pipelines, feature engineering steps, and ML services within containerized, secure 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 emphasize reproducibility, testing, and continuous delivery.

Skills

Python

SQL

Spark

Databricks

PySpark

MLOps

API development

Data storytelling

Technical communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Systems

Master's degree preferred

Tools

Palantir Foundry

Palantir MSS Workshop

Palantir Slate

AWS

Azure

Spark

Databricks

scikit-learn

TensorFlow

XGBoost

Job description

Based in Colorado Springs, this on-site Data Engineer role supports secure DoD data initiatives. A Top Secret clearance is required to start, and the position offers a salary range of USD 150,000 - 170,000 per year. You will design, build, and deploy scalable, AI-enabled data solutions and pipelines within secure environments, contributing to mission-critical insights in the DoD's CDAO ADA IR program.

Responsibilities

• Architect and implement scalable, AI-powered data solutions and pipelines under the DoD’s CDAO ADA IR program, ensuring secure deployment.
• Design, preprocess, and orchestrate data pipelines, feature engineering steps, and ML services within containerized, secure 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 emphasize reproducibility, testing, and continuous delivery.

Requirements

• Clearance: Top Secret; must have clearance to start.
• Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or 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.
• 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.
• Proficiency in Python, SQL, and distributed data frameworks (eg, Spark, Databricks, PySpark).
• Experience developing ML models from training to deployment using libraries such as scikit-learn, TensorFlow, and XGBoost.
• Familiarity with MLOps, API development, and secure cloud-based environments (AWS, Azure, Palantir Foundry).
• Strong understanding of data validation, model testing, and performance evaluation techniques.
• Excellent technical communication skills for explaining complex concepts to non-technical audiences.

Technologies

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

About Agile Defense

At Agile Defense, action defines the outcome and new challenges require fresh solutions. The company consistently looks to the future, embracing change with a resolute spirit and the courage to build for what comes next.

The vision centers on adaptive innovation to support national missions through seamless integration of advanced technologies, exceptional talent, and agile execution—combining speed, flexibility, and ingenuity to protect vital interests.

Working Conditions

Must be able to work onsite at a SCIF in Colorado Springs, CO.