Data Engineer - NORTHCOM
Listed on 2026-07-09
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IT/Tech
Data Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Requisition #
1710
Job TitleData Engineer - NORTHCOM
LocationOn‑Site, Colorado Springs, CO
Clearance LevelTop Secret, Must Have Clearance to Start
Job DescriptionAgile Defense is seeking a Data Scientist / Engineer to support the design, development, and operational deployment of scalable, AI‑enabled data solutions within the Department of Defense’s CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission‑critical environments at Combatant Commands.
Responsibilities include shaping and deploying data pipelines, pre‑processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The candidate will collaborate closely with product managers, full‑stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision‑support tools. The role requires strong technical communication, a collaborative mindset, and experience working in agile environments that value reproducibility, testing, and continuous delivery.
Familiarity with cloud‑based data platforms such as Databricks, Palantir, or AWS‑native services is highly preferred.
Typically holds a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; a master’s degree is preferred. Three or more years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines, or equivalent relevant work experience.
Years of Experience3+ years
Required Skills- Experience with data visualization and storytelling using tools such as Palantir’s MSS Workshop and Slate applications
- 4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.
- Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark).
- Experience developing ML models from training to deployment using industry‑standard tools and libraries (e.g., scikit‑learn, Tensor Flow, XGBoost).
- Familiarity with MLOps, API development, and secure cloud‑based environments (e.g., AWS, Azure, Palantir Foundry).
- Strong understanding of data validation, model testing, and performance evaluation techniques.
- Excellent technical communication skills, with the ability to explain complex concepts to non‑technical audiences.
Must be able to work onsite at a SCIF.
Compensation$150,000 – $170,000 a year
Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesAgile Defense is an Equal Opportunity Employer; protected veterans and individuals with disabilities are encouraged to apply.
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