Top Secret Data Engineer – Onsite in Colorado Springs

Socket.dev; Colorado Springs (CO); On-site; USD 110,000 - 150,000; Full time

Job summary

Agile Defense is seeking a Data Scientist/Engineer to support the design, development, and deployment of scalable, AI-enabled data solutions for the DoD’s CDAO ADA IR program. You will build data pipelines, pre-processing workflows, and ML services in secure, containerized environments, collaborating with product managers, full-stack developers, and mission stakeholders.

The ideal candidate has a blend of statistical modeling and software engineering expertise, strong communication skills, and

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, with experience designing and managing data pipelines.
• Experience with data visualization and storytelling using Palantir MSS Workshop and Slate applications.

Responsibilities

• Design, develop, and deploy scalable, AI-enabled data solutions within secure environments.
• Shape and deploy data pipelines, pre-processing workflows, and feature engineering strategies.
• Collaborate with product managers, developers, platform engineers, and stakeholders to turn raw data into insights and decision-support tools.
• Work in agile environments emphasizing reproducibility, testing, and continuous delivery.

Skills

Data visualization

Technical communication

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Palantir MSS Workshop

Slate applications

Python

SQL

Spark

Databricks

PySpark

TensorFlow

XGBoost

Job description

Agile Defense is seeking a Data Scientist/Engineer to support the design, development, and deployment of scalable, AI-enabled data solutions for the DoD’s CDAO ADA IR program. You will build data pipelines, pre-processing workflows, and ML services in secure, containerized environments, collaborating with product managers, full-stack developers, and mission stakeholders.

The ideal candidate has a blend of statistical modeling and software engineering expertise, strong communication skills, and