Palantir Data Engineer - Palantir Foundry, AIP, SQL
Location: Remote
Contract: 12 months initial C2H
Rate: $100 - $125 per hour
Disclaimer: Candidates must be authorized to work in the United States without the need for current or future visa sponsorship
Technology Environment
Palantir Foundry: Ontology, Code Repositories, Pipeline Builder, AIP Logic and the Ontology SDK
Data: Microsoft SQL Server and Azure SQL
Languages: Python, PySpark, SQL and TypeScript
AI-first development, with a large language model integrated directly into Foundry for agent-driven engineering
Bespoke React applications, plus Foundry-backed APIs serving the company’s internal web platform
Integrations with the core operational system, a CRM platform and third-party vendor APIs
Cloud: Microsoft Azure
Planning and documentation: Jira and Confluence
Platform and Data Engineering
Develop and extend a large ontology modelling organisations, products, commercial offers and market demand
Add new object types, properties and links as data requirements evolve
Own ingestion from the operational system, SQL estate, CRM and external vendor feeds, plus the transformations, pipelines and automations built on top
Put data quality guardrails in place, including expectations that stop a failing build, freshness monitoring against agreed service levels, and tests that catch subtle issues early
Optimise performance through query tuning, indexing, materialisation choices and caching
Support incident resolution when pipelines or write-backs fail, which may include a share of on-call cover
Writing Back to the System of Record
Build and maintain the flow of Foundry outputs back into the primary operational system, including scores, enriched attributes, de-duplicated entities and operational flags
Design for safe retries and conflict management
Reconcile records when the two systems drift apart
APIs, Applications and AI
Design the APIs that surface Foundry data in the internal web platform, covering contracts, versioning and the response times an interactive front end needs
Build custom applications, with limited reliance on Workshop
Develop AIP Logic functions and agentic workflows that reason over the ontology and take action, such as sorting incoming customer requests, detecting pricing trends and highlighting unusual activity
Maintain the agent tooling the engineering team relies on, including instructions, tool integrations and validation of agent output