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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Palantir / AI Data Engineer - **Company:** Nationwide IT Services, Inc - **Location:** Joint Base Andrews, MD, United States (Remote available) - **Salary:** $138,000.0 - $189,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Data Structures, Python (Programming Language), Apache Maven, Metadata, Power BI, Standard Sql, Search Technologies, Systems Integration, Cloud Platform System, Data Layers, Information Technology, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9107057/palantir-ai-data-engineer ## About the Role * 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. Preferred Qualifications * Experience with Palantir Envision, Maven, or Vantage. * Experience supporting DoD IL4/IL5 cloud environments, Advana/WDP, or Air Force/ANG mission data. ## Description Nationwide IT Services, NIS, is seeking a Palantir / AI Data Engineer to develop, integrate, and sustain data and AI capabilities across Palantir Foundry, Envision, Maven, Vantage, AskSage, and connected enterprise repositories for a potential opportunity. 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. Key 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. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)