> Markdown version of [/jobs/ext/1243020-data-engineer-palantir-foundry](https://www.wearedevelopers.com/jobs/ext/1243020-data-engineer-palantir-foundry). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Palantir Foundry - **Company:** Wipro Limited - **Location:** Delaware, OH, United States - **Experience:** Expert - **Salary:** $80,000.0 - $158,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Audit Trail, Data Infrastructure, Python (Programming Language), Standard Sql, Search Technologies, Software Deployment, Enterprise Software Applications, Large Language Models, Snowflake, Operational Systems, Machine Learning Operations - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bc3996896dd93a48 ## About the Role * Experience with Palantir Foundry & AIP (Ontology, Pipeline Builder, AIP Logic) * Proficiency in Python, SQL * Hands-on experience building LLM applications, RAG pipelines, and agentic AI systems * Understanding of vector search, embeddings, and semantic retrieval architectures * Experience integrating AI into enterprise workflows and operational systems * Strong foundation in ML lifecycle, evaluation, and production deployment * Ability to translate business requirements into scalable AI solutions Mandatory Skills: Palantir . Experience: 8-10 Years . ## Description * Build AI applications using Palantir AIP integrated with Snowflake data platform * Design and implement agentic systems ( decision agents, automation agents) * Develop RAG pipelines leveraging Snowflake data and enterprise knowledge sources * Create LLM workflows using AIP Logic / Agent Studio for enterprise use cases * Integrate AI agents with enterprise systems for end-to-end decision automation * Ensure governance, security, auditability, and responsible AI practices * Collaborate with stakeholders to deliver production-grade AI solutions ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)