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Staff Data Engineer, Foundry & Ontology

LMI Fort Bragg, NC

Fort Bragg, NC

Today

$160k - $180k/yr Full time Backend Developer Agent Enabled Workflows Big Data

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Job Description

The Staff Data Engineer role focuses on building data architectures, ontologies, and integrations for U.S. Army operational decision support using Palantir Foundry. The position includes hands-on development of ontology objects and workflows, along with support for AI-enabled capabilities such as conversational AI and agent-enabled workflows.

Location and Employment

Location: Fort Bragg, NC (onsite)
Target Salary Range: USD 160,000 - 180,000 per year
Clearance: Active Top Secret (TS)

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 representing 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.
Evaluate 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.
Define 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 supporting operational applications and AI-enabled capabilities.
Partner 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.

Required Qualifications

Education: Bachelor’s degree in computer science, engineering, information systems, data science, or a related technical discipline; or equivalent practical experience.
Experience: Six or more years 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.

Technology Focus

Platforms: Palantir Foundry, Army Vantage, Maven Smart System
Languages and tools: Python, SQL, PySpark
AI and interfaces: Natural-language querying, Conversational AI, Agent-enabled workflows
Integration: APIs, databases

Education

Bachelor’s degree in computer science, engineering, information systems, data science, or a related technical discipline.

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