Staff Data Engineer, Foundry & Ontology

LMI; Fort Bragg (NC); On-site; USD 160,000 - 180,000; Full time

Job summary

LMI in Fort Bragg, NC invites a Staff Data Engineer to design scalable data architectures and ontologies for U.S. Army decision-support.

You will build integrations in Palantir Foundry and contribute to ontology objects, AI-enabled capabilities, and conversational interfaces. This mission-driven role requires hands-on development, production data pipelines, and collaboration with engineers and operational stakeholders to translate requirements into robust technical solutions across Palantir

Qualifications

• Bachelor’s degree in computer science, engineering, information systems, data science, or related technical discipline, or equivalent practical experience.
• 6+ 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 with multidisciplinary technical teams.
• Active Top Secret (TS) security clearance.

Responsibilities

• Design and develop scalable data architectures, pipelines, and integrations using Palantir Foundry and related enterprise data platforms.
• Lead the development and iterative refinement of ontologies representing operational entities, activities, and relationships across multiple sources.
• Create and implement data models connecting information about personnel, units, equipment, installations, resources, and operational activity.
• Evaluate existing data models and ontology implementations to identify reuse opportunities and improvements.
• Integrate structured and unstructured data from Army and Department of Defense systems of record.
• Define approaches for data quality, validation, lineage, traceability, and access controls to support reliable decision-making.
• Develop and maintain ontology objects, relationships, and workflows for operational applications and AI-enabled capabilities.
• Collaborate with software engineers to enable natural-language querying, conversational AI, and agent-enabled workflows backed by 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.

Skills

Python

SQL

Data pipelines

Data architecture

Palantir Foundry

Army Vantage

Maven Smart System

PySpark

Security clearance

Education

Bachelor's degree

Tools

Palantir Foundry

Army Vantage

Maven Smart System

PySpark

Job description

Opportunity in Fort Bragg, NC (onsite) with LMI, supporting U.S. Army operational decision-support. This Staff Data Engineer role focuses on building data architectures, ontologies, and integrations in Palantir Foundry, with hands‑on involvement in ontology objects and AI‑enabled capabilities such as conversational AI and agent‑enabled workflows. Join a mission‑driven environment where authoritative enterprise data powers real operational outcomes.

Responsibilities

• Design and develop scalable data architectures, pipelines, and integrations using Palantir Foundry and related enterprise data platforms.
• Lead the development and iterative refinement of ontologies representing operational entities, activities, and relationships across multiple sources.
• Create and implement data models connecting information about personnel, units, equipment, installations, resources, and operational activity.
• Evaluate existing data models and ontology implementations to identify reuse opportunities and improvements.
• Integrate structured and unstructured data from Army and Department of Defense systems of record.
• Define approaches for data quality, validation, lineage, traceability, and access controls to support reliable decision‑making.
• Develop and maintain ontology objects, relationships, and workflows for operational applications and AI‑enabled capabilities.
• Collaborate with software engineers to enable natural‑language querying, conversational AI, and agent‑enabled workflows backed by 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.

Requirements

• Bachelor’s degree in computer science, engineering, information systems, data science, or related technical discipline, or equivalent practical experience.
• 6+ 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 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.

Technologies

• Palantir Foundry, Army Vantage, Maven Smart System
• Python, SQL, PySpark
• Natural‑language querying, Conversational AI, Agent‑enabled workflows
• APIs, databases

Salary: USD 160,000 - 180,000 per year

Location: US-NC-Fort Bragg (onsite)