Staff Data Engineer, Foundry & Ontology – Clearance Required
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 20, 2026. LMI scores A on the Alion truth index.
Overview
LMI is seeking a Senior Data Engineer to support the development of integrated operational information and decision-support capabilities for the U.S. Army. This individual will play a key role in designing and implementing data architectures, ontologies, and integrations that connect information across Army enterprise systems and enable operational applications and AI-enabled workflows.
The ideal candidate is a hands-on engineer with strong data engineering and architecture experience who can work across complex data environments, develop scalable solutions, and collaborate with software engineers and operational stakeholders. This role will focus on establishing the data foundation for operational applications using Palantir Foundry, with opportunities to support conversational AI, workflow automation, and advanced decision-support capabilities.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Design and develop scalable data architectures, pipelines, and integrations using Palantir Foundry and related enterprise data platforms.
Lead the development and refinement of ontologies that represent operational entities, activities, and relationships across multiple data sources.
Design and implement data models that connect 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 that support 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.
Qualifications
Minimum Qualifications
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.
Preferred Qualifications
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.
Target Salary Range: $160,000 - $180,000
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.