Data Engineer - Joint Staff

Agile Defense supports national security and critical civilian missions through adaptive innovation and advanced technologies. The company is seeking a Data Scientist/Engineer to design, develop, and operationally deploy scalable AI-enabled data solutions, including data pipelines, preprocessing workflows, feature engineering strategies, and machine learning services in secure environments.

Responsibilities

Support the design, development, and operational deployment of scalable, AI-enabled data solutions within the Department of Defense’s CDAO ADA IR program

Help shape and deploy data pipelines, pre-processing workflows, feature engineering strategies, and machine learning services within secure, containerized environments

Collaborate closely with product managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data into meaningful insights and decision-support tools

Preferred

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

4+ years of experience in applied data science, Palantir Foundry development, or data pipeline development.

Data Science Experience

Palantir Foundry Development

Data Pipeline Development

Python Proficiency

SQL Proficiency

Distributed Data Frameworks

Spark Proficiency

Databricks Proficiency

PySpark Proficiency

ML Model Development

Scikit-learn Proficiency

TensorFlow Proficiency

XGBoost Proficiency

MLOps Familiarity

API Development

Cloud Environments

AWS Familiarity

Azure Familiarity

Data Validation

Model Testing

Performance Evaluation

Technical Communication

Company

National security and civilian mission IT, data, and cyber services

Mclean, Virginia, USA

https://agiledefense.com/

Founded in 1998

1001-5000 employees

Qualifications

Typically has a 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; e.g., each year of work experience may be substituted for each year of education required

- 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

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; e.g., each year of work experience may be substituted for each year of education required

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

and 3+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines.

Required skills

Data Visualization, Palantir MSS Workshop, Palantir Slate, Palantir Foundry, Python, SQL, Apache Spark, Databricks, PySpark, Machine Learning Model Development, scikit-learn, TensorFlow, XGBoost

Preferred skills

Mclean, Virginia, USA, https://agiledefense.com, Late Stage, Total Funding, unknown, 2022-11-16, Acquired, Leadership Team, Rick Wagner, Chief Executive Officer, Bill Luebke, Chief Financial Officer, Recent News, Washington Technology, 2026-08-11, PR Newswire, 2026-08-05, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

3+ years