Staff Data Engineer, Foundry & Ontology – Clearance Required

LMI•Fort Bragg, NC

About The Position

LMI is seeking a Senior Data Engineer to develop integrated operational information and decision-support capabilities for the U.S. Army. The role designs and implements data architectures, ontologies, and integrations that connect information across Army enterprise systems and support operational applications and AI-enabled workflows. The engineer will establish data foundations using Palantir Foundry and may support conversational AI, workflow automation, and advanced decision-support capabilities. The position combines hands-on engineering and architecture work with collaboration across software engineering teams and operational stakeholders.

Requirements

Bachelor's degree in computer science, engineering, information systems, data science, or a related technical discipline, or equivalent practical experience.
Six or more years of experience in data engineering, data architecture, software engineering, or related technical disciplines.
Strong proficiency in Python and SQL.
Experience designing and implementing production data pipelines, transformations, and integrations.
Experience with complex data modeling, including relationships between entities across multiple data sources.
Experience with Palantir Foundry, Army Vantage, Maven Smart System, or comparable enterprise data platforms.
Experience integrating data from multiple enterprise systems, including APIs, databases, and other structured or unstructured sources.
Understanding of data quality, lineage, governance, security, and access controls.
Ability to lead technical design efforts while contributing directly to hands-on engineering and development.
Strong communication and collaboration skills, including experience working with multidisciplinary technical teams.
Active Top Secret (TS) security clearance.

Nice To Haves

Hands-on experience with Palantir Foundry Ontology, including object types, link types, properties, and Actions.
Experience designing ontology-driven applications or semantic data models.
Experience with PySpark, distributed data processing, or large-scale enterprise data integration.
Familiarity with Army operational data, including mobilization, personnel, force readiness, logistics, installations, or sustainment.
Experience developing data foundations for AI-enabled applications, including natural-language querying, retrieval-augmented generation, and agent orchestration.
Experience integrating data across systems with different security classifications, access requirements, or governance constraints.
Experience supporting Department of Defense operational environments.
Experience mentoring engineers and providing technical guidance on data architecture and engineering practices.

Responsibilities

Design and develop scalable data architectures, pipelines, and integrations using Palantir Foundry and related enterprise data platforms.
Lead development and refinement of ontologies representing operational entities, activities, and relationships across multiple data sources.
Design and implement data models connecting information about personnel, units, equipment, installations, resources, and operational activities.
Assess existing data models and ontology implementations to identify opportunities for reuse, extension, and improvement.
Integrate structured and unstructured data from Army and Department of Defense systems of record.
Establish approaches for data quality, validation, lineage, traceability, and access controls to support reliable operational decision-making.
Develop and maintain ontology objects, relationships, and associated workflows for operational applications and AI-enabled capabilities.
Collaborate with software engineers to enable natural-language querying, conversational AI, and agent-enabled workflows using authoritative enterprise data.
Provide technical guidance on data architecture, integration patterns, and engineering best practices.
Work with operational stakeholders to translate mission requirements into technical solutions.
Support integration and interoperability across Palantir Foundry, Army Vantage, Maven, and related enterprise environments.
Contribute hands-on to development, testing, troubleshooting, and deployment of production data capabilities.