Senior Data Engineer - Army Vantage / Palantir Foundry

About the role

CACI's Agile Solution Factory (ASF) is hiring a Senior Data Engineer with Army Vantage and Palantir Foundry experience to lead enterprise data architecture, data engineering, analytics and application development for a key Department of Defense program. The role is a hands-on technical lead within an Agile/Scrumban team, working closely with government stakeholders, product managers and engineers, with up to 10% local travel and a minimum Secret clearance.

Key responsibilities

• Own the end-to-end architecture and implementation of enterprise data, analytics and applications in Army Vantage/Palantir Foundry.
• Design and implement conceptual, logical and physical data models using Kimball dimensional modeling, Databricks Lakehouse/Medallion patterns, semantic layers and Foundry Ontology.
• Build, test, deploy and maintain scalable ETL/ELT pipelines and governed data layers using Python, PySpark, Spark SQL, Foundry Code Repositories, Pipeline Builder, Databricks and Delta Lake.
• Design Foundry Ontologies with governed objects, links, Actions, Functions, KPIs and access controls.
• Develop production Workshop applications, JavaScript and TypeScript Functions, custom widgets and OSDK integrations.
• Maintain data cleansing pipelines, validation, de-duplication, formatting and business-rule enforcement in Foundry.
• Implement document-processing pipelines, tool orchestration, audit logging, data-freshness indicators and controls against unauthorized responses.
• Lead the team's engineers, review code, resolve blockers and present solutions to senior government and military stakeholders.

Required profile

• U.S. citizen with an active Secret DoD security clearance (interim clearance considered).
• Bachelor's or Master's degree in Information Assurance, Computer Science, MIS or a related field, or equivalent experience.
• At least 7 years of experience in data architecture, data engineering, software engineering, analytics or AI/ML.
• Demonstrated hands-on experience designing, deploying and supporting production enterprise data and AI systems.
• Strong communication skills and ability to work independently and collaboratively in a fast-paced DoD environment.

Required skills

• Databricks Lakehouse and Medallion architectures with Apache Spark and Delta Lake.
• Kimball dimensional modeling (grain, fact and dimension design, conformed dimensions, slowly changing dimensions, enterprise bus).
• Data governance: schema evolution, metadata management, cataloging, automated data quality (Collibra, Amundsen, Purview or Foundry governance).
• Advanced Python, PySpark, Spark SQL and SQL.
• Expert production experience with Army Vantage or Palantir Foundry (pipelines, Ontology, Workshop, governance).
• Desired: JavaScript and TypeScript, SharePoint/Dataverse integration, Palantir AIP, React, and Army domain data.

What we offer

• Proposed pay range of $103,800 - $218,100 depending on experience, skills and contract terms.
• Healthcare, wellness, financial, retirement, family support, continuing education and time-off benefits.
• Flexible time off and learning resources.