Senior Palantir Foundry Engineer

Leidos•Fayetteville, NC

20h•$87,100 - $157,450

About The Position

Leidos is seeking a Senior Palantir Foundry Engineer to support the U.S. Army Special Operations Command (USASOC) Chief Data and Analytics Office (CDAO) at Ft. Bragg, North Carolina. The position provides hands-on technical leadership in designing, developing, integrating, and optimizing data solutions on the Palantir Foundry platform. The engineer translates complex operational requirements into scalable data products, pipelines, and analytical capabilities, working with engineers, data scientists, analysts, mission owners, and government stakeholders to deliver secure, reliable, mission-focused solutions. The role includes developing production-grade Foundry pipelines, datasets, Ontology models, workflows, and applications; integrating enterprise, operational, and mission data; and supporting data quality, governance, access control, security, and performance. The engineer also helps operationalize analytical models, documents technical designs and procedures, mentors junior engineers, contributes to CDAO engineering practices, and coordinates with government technical leads and mission stakeholders. The position requires an active Top Secret clearance and U.S. citizenship; TS/SCI is preferred.

Requirements

Master's degree in Computer Science, Data Science, Computer Engineering, Information Technology, Mathematics, or a related technical field.
DoD 8140-compliant certification, such as CSC, CSSLP, GCSA, or GSEC.
At least 5 years of experience in software engineering, data engineering, data platform engineering, or a related technical discipline.
Demonstrated hands-on experience developing solutions within Palantir Foundry.
Experience designing and implementing production-grade data pipelines and data products.
Experience integrating data from multiple structured and unstructured sources.
Experience working with relational and non-relational data technologies.
Experience supporting data engineering solutions in DoD, federal, or other mission-critical environments.
Experience working in Agile software development environments.
Experience collaborating with technical and non-technical stakeholders to translate mission requirements into technical solutions.
Active Top Secret security clearance and U.S. citizenship.
Technical skills in Palantir Foundry, Foundry Ontology, Foundry Pipeline Builder, Foundry Workshop and/or Slate, Python, SQL, PySpark, data transformation and pipeline development, data modeling, ETL/ELT development, API and system integration, data quality and validation, Git/version control, CI/CD concepts and practices, cloud-based data platforms, REST APIs, data governance and access controls, troubleshooting, and performance optimization.

Nice To Haves

TS/SCI clearance.
Direct experience supporting USASOC, USSOCOM, or another Special Operations Forces organization.
Previous experience supporting a Chief Data and Analytics Office or comparable enterprise data organization.
Experience developing Foundry solutions for DoD mission, intelligence, operations, logistics, or command-and-control use cases.
Experience working with Foundry in classified or air-gapped environments.
Experience with Foundry Ontology development and operationalization.
Experience building Foundry applications using Workshop, Slate, or similar Foundry application-development capabilities.
Experience integrating Foundry with enterprise APIs, databases, message queues, cloud services, and external applications.
Experience with data governance, metadata management, data lineage, and data quality frameworks.
Experience deploying machine learning or advanced analytics capabilities into operational data workflows.
Experience with AWS, Azure, or other cloud environments.
Familiarity with DoD data standards, enterprise data architectures, and cybersecurity requirements.
Experience working in TS/SCI or other classified environments.
Experience supporting systems subject to RMF/ATO requirements.
Palantir Foundry certification or demonstrated equivalent platform expertise.

Responsibilities

Design, develop, and maintain scalable data pipelines, datasets, and data products within Palantir Foundry.
Develop and optimize Foundry pipelines using Python, SQL, PySpark, and Foundry-native technologies.
Build and maintain Foundry data transformations, workflows, datasets, and analytical applications supporting USASOC mission requirements.
Develop and manage Ontology models representing operational entities, relationships, actions, and mission data.
Integrate data from disparate enterprise, operational, and mission systems into Foundry.
Design data ingestion, transformation, validation, and quality processes to ensure reliable and trusted data products.
Work with data scientists, analysts, and mission users to operationalize analytical models and workflows within Foundry.
Develop reusable data products and services supporting CDAO analytics and decision-making capabilities.
Troubleshoot pipeline failures, data quality issues, performance problems, and integration challenges.
Optimize Foundry pipelines and data products for scalability, reliability, performance, and maintainability.
Support development and deployment of Foundry applications and workflows that provide actionable insights to mission stakeholders.
Apply data governance, access controls, security requirements, and data management practices within the platform.
Collaborate with cybersecurity and systems engineering teams to ensure solutions meet applicable security and authorization requirements.
Participate in technical design reviews and translate mission requirements into technical implementation plans.
Document data architectures, pipeline designs, integrations, dependencies, and operational procedures.
Mentor junior engineers and provide technical guidance on Foundry development, data engineering, and platform best practices.
Support continuous improvement of CDAO data engineering architecture, development standards, and engineering practices.
Participate in Agile activities, including sprint planning, stand-ups, demonstrations, retrospectives, and backlog refinement.
Coordinate with government technical leads and mission stakeholders to identify requirements, resolve technical issues, and prioritize development efforts.