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# Palantir Foundry Developer / Data Engineer

- **Company:** SYMHAS L.L.C.
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Profiling, Data Validation, Information Engineering, Data Integrity, Retrieval-Augmented Generation, Build Management, Data Analytics, Data Pipelines
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=71a9419183a236a0

## About the Role

Do you have experience in Validation design?, * Proven experience designing and implementing data pipelines and transforms within Palantir Foundry.

 * Expert-level experience in Ontology creation, modeling, and management.
 * Hands-on experience with Foundry Workshop and AIP for application/workflow development.
 * Experience implementing data quality, profiling, anomaly detection, and validation logic within pipelines.
 * Strong ability to convert business requirements into practical, scalable technical solutions on the Foundry platform.

Preferred / Nice to Have

 * Experience with RAG (Retrieval-Augmented Generation) pipelines.
 * Hands-on experience with Foundry Media Sets.

## Description

We are seeking an experienced Palantir Foundry Developer to join our team on a contract basis, fully remote within the United States. The ideal candidate will have deep hands-on expertise across the Foundry ecosystem - from pipeline engineering and ontology design to building user-facing applications in Workshop/AIP - and will be comfortable translating ambiguous business problems into scalable, data-driven solutions., * Design and build data pipelines, including the required transforms, to ingest, clean, and structure data within Palantir Foundry.

 * Architect and maintain Foundry Ontologies, ensuring object types, links, and properties accurately model the business domain and support downstream applications.
 * Build and configure operational applications and workflows using Foundry Workshop and AIP.
 * Support RAG (Retrieval-Augmented Generation) implementations, including hands-on work with Media Sets where applicable.
 * Implement data quality checks, profiling, anomaly detection, and validation rules embedded directly within Foundry pipelines to ensure data integrity.
 * Partner with business stakeholders to translate real-world problems into technical solutions, leveraging the full breadth of Foundry's platform capabilities.
 * Collaborate with cross-functional teams (data engineering, analytics, business SMEs) to deliver reliable, production-grade data products.


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