About the role
Job Description: Palantir Foundry Engineer
Job Title :Palantir Foundry Engineer
Experience :3+ years of relevant experience (hands-on Palantir Foundry experience preferred)
Employment : Full-time / Contract
Work Model :Remote.
Role Overview
We are looking for an experienced Palantir Foundry Engineer to design, develop, and maintain scalable data engineering solutions, enterprise applications, and AI-enabled workflows using Palantir Foundry. The ideal candidate will have hands-on experience building data pipelines, integrating multiple data sources, developing Foundry Ontologies, and translating complex business requirements into reliable, production-ready solutions.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data transformation workflows using Palantir Foundry.
- Develop data ingestion and integration solutions connecting databases, APIs, cloud platforms, and enterprise applications.
- Write and optimize data transformations using Python, SQL, PySpark, or Spark.
- Design and maintain Palantir Foundry Ontologies, including objects, relationships, actions, and functions.
- Build operational applications, dashboards, and business workflows using Foundry Workshop and relevant application development tools.
- Integrate AI/ML capabilities and LLM-powered workflows using Palantir AIP, where applicable.
- Implement data quality checks, validation, monitoring, access controls, and governance practices.
- Troubleshoot pipeline failures, data inconsistencies, and application performance issues.
- Collaborate with data engineers, software engineers, architects, and business stakeholders to deliver end-to-end solutions.
- Maintain technical documentation, version control, testing standards, and production deployment processes.
Required Skills & Qualifications
- Hands-on experience with Palantir Foundry in a development or implementation role.
- Strong programming skills in Python and SQL.
- Experience building data pipelines and performing complex data transformations.
- Knowledge of PySpark/Spark and large-scale data processing.
- Practical understanding of Foundry Ontology, including data modeling, objects, links, actions, and functions.
- Experience with data integration, APIs, relational databases, and structured or unstructured data.
- Understanding of data quality, testing, troubleshooting, and production support.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Experience with Palantir AIP, LLM integration, AI agents, or AI-powered enterprise workflows.
- Exposure to AWS, Azure, or Google Cloud Platform.
- Experience with Foundry Workshop, Code Repositories, Pipeline Builder, and Ontology Manager.
- Familiarity with TypeScript, React, REST APIs, CI/CD, and software development best practices.
- Experience delivering enterprise data or AI solutions in production environments.
Ideal Candidate
A hands-on engineer who understands both data engineering fundamentals and the Palantir Foundry ecosystem, with the ability to independently build, troubleshoot, and deploy production-ready solutions.
Application Requirement :Candidates should clearly mention their hands-on Palantir Foundry experience, relevant projects, technical skills, notice period, and availability.
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