Palantir / AI Data Engineer

Nationwide IT Services•Andrews AFB, MD

3d•$138,000 - $189,000•Hybrid

About The Position

Nationwide IT Services (NIS) is seeking a Palantir / AI Data Engineer for a potential opportunity to develop, integrate, and sustain data and AI capabilities across Palantir Foundry, Envision, Maven, Vantage, AskSage, and connected enterprise repositories. The engineer will maintain semantic data layers, schemas, vector indexes, and AI-ready data products that enable natural-language, AI/ML, and mission analytics use cases across integrated ANG data sets.

Requirements

Demonstrated hands-on experience with Palantir Foundry data engineering, modeling, application/analytics development, or platform administration.
Experience developing semantic layers, ontology/data models, vector indexes, embeddings/retrieval pipelines, or comparable AI-ready data structures.
Strong SQL and Python skills and experience integrating heterogeneous enterprise data sources.
Experience with AI/ML-enabled query, retrieval, prompt/context engineering, or enterprise generative-AI solutions such as AskSage or comparable platforms.
Understanding of data governance, lineage, access controls, security, and quality controls for enterprise and regulated data environments.
Must satisfy applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.
Active SECRET security clearance

Nice To Haves

Experience with Palantir Envision, Maven, or Vantage.
Experience supporting DoD IL4/IL5 cloud environments, Advana/WDP, or Air Force/ANG mission data.

Responsibilities

Build, configure, maintain, and troubleshoot data products and workflows in Palantir Foundry and related Envision, Maven, and Vantage environments.
Structure and maintain semantic data layers, ontologies/data models, schemas, metadata, and vector-index configurations supporting AI/ML query processing.
Integrate Palantir and AskSage with Microsoft Azure, Azure Databricks, Advana/WDP, Power BI, and other CDAO repositories while preserving schema and data integrity.
Prepare and optimize enterprise data for retrieval, semantic search, vector-based retrieval, prompt/context engineering, and AI-assisted analysis.
Implement data quality, access control, least-privilege, encryption, lineage, and CUI-handling controls across AI-enabled data products.
Partner with data engineers and the Technical Lead to develop reliable ingestion and transformation pathways feeding Palantir/AI data products.
Validate AI data layers against Government-approved business definitions and functional requirements; investigate inaccurate, incomplete, or inconsistent AI responses attributable to data or semantic-layer issues.
Support development and sustainment of BI products, analytics solutions, and technical training involving Palantir and AI tools.
Create technical documentation, configuration guidance, troubleshooting procedures, and training materials for supported Palantir and AI capabilities.