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We are seeking an experienced Palantir Foundry Engineer to join our Corporate Technology group and play a key role in shaping how we build data products, pipelines, and ontology-driven applications across the enterprise. This role is ideal for someone who can blend architecture thinking with hands-on engineering—helping us design scalable data models, develop performant pipelines, and leverage Foundry’s application layers to deliver high-value solutions for business teams. You will partner closely with analysts, data engineers, and application teams to turn complex datasets into actionable insights and reusable data assets.
Job Responsibility:
Design and develop data pipelines using Foundry’s Code Repositories, Pipeline Builder, and Transformations
Create scalable and well-structured Ontologies, including upstream object modeling, relationships, and governance patterns
Build user-facing applications and workflows using Workshop, Slate/UI tooling, and Foundry’s Action Framework
Drive architectural decisions around ontology design, feature pipelines, data lineage, permissioning, and semantic modeling
Collaborate with business teams to translate requirements into Foundry-native solutions
Optimize existing pipelines for performance, reliability, and operational maintainability
Implement data quality rules, monitoring frameworks, and operational alerting within Foundry
Participate in code reviews and establish engineering standards for Foundry development
Mentor team members and help establish best practices for Foundry development across the organization
Partner with platform engineering teams (as needed) on access controls, repository strategy, and workspace organization
Requirements:
Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience
6–8 years of experience in data engineering, analytics engineering, or application development
2–4 years hands-on experience with Palantir Foundry in an enterprise setting
Strong proficiency in Python, PySpark, and SQL for data transformations
Experience designing and maintaining Foundry Ontology models and object relationships
Hands-on experience with Workshop, Code Repositories, Pipeline Builder, and transformation frameworks
Understanding of data engineering fundamentals: data quality, governance, testing, logging, monitoring
Experience with Git-based version control and modern CI/CD practices
Ability to explain architectural decisions clearly to both technical and non-technical stakeholders
Strong problem-solving and system design skills
Nice to have:
Experience building Foundry UI applications (Slate, custom React/TypeScript components)
Familiarity with cloud platforms (AWS, Azure, or GCP)
Experience with Foundry ML/AI tooling (Functions, Multipass, ML pipelines)
Exposure to natural language query systems, LLM agents, or RAG-based automation within Foundry
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