Data Engineer - NORTHCOM
About The Position
Agile 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. You will help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments. The ideal candidate brings a hybrid of statistical modeling fluency and hands-on software engineering expertise. You 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. This role requires strong technical communication skills, 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 data services is highly preferred.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred), and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines, or equivalent relevant work experience.
- Experience with data visualization and storytelling using tools such as Palantir's MSS Workshop and Slate applications.
- Must be able to work onsite at a SCIF.
- Top Secret Clearance, Must Have Clearance to Start
Nice To Haves
- 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, TensorFlow, 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.
- Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data services.
Responsibilities
- Support the design, development, and operational deployment of scalable, AI-enabled data solutions.
- Integrate advanced analytics, machine learning, and engineering practices into mission-critical environments.
- Shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments.
- Collaborate with product managers, full-stack developers, platform engineers, and mission stakeholders.
- Transform raw data into meaningful insights and decision-support tools.
Benefits
- Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental.
- Our culture is alive and evolving, but it always stays true to its roots.
- Here, you are valued as a family member, and we believe that we can accomplish great things together.
- Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
- Happy - Be Infectious.
- Helpful - Be Supportive.
- Honest - Be Trustworthy.
- Humble - Be Grounded.
- Hungry - Be Eager.
- Hustle - Be Driven.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
