Palantir Developer

We are looking for a Palantir Foundry Developer with strong experience in Data Engineering, Python/PySpark, and the Palantir Foundry platform. The ideal candidate should have hands-on experience with Foundry Code Repositories, Ontology, and Workshop and be capable of developing scalable data pipelines and business applications on Foundry.

• Develop and maintain scalable data pipelines using Python and PySpark within Palantir Foundry.
  
• Work extensively with Foundry Code Repositories for code development, version control, testing, and deployment.
  
• Design and work with Palantir Ontology, including objects, properties, relationships, and business logic.
  
• Build interactive applications and dashboards using Foundry Workshop .
  
• Integrate data from multiple sources and transform it into reliable, business-ready datasets.
  
• Collaborate with business and technical stakeholders to translate requirements into Foundry-based solutions.
  
• Develop reusable data transformations and ensure data quality, performance, and reliability.
  
• Troubleshoot pipeline issues and optimize data processing jobs.
  
• Follow best practices for Git/version control, CI/CD, testing, and deployment within the Foundry environment.
  
• Support production deployments and ongoing enhancements of Foundry applications.
  

• Hands - on experience with Palantir Foundry .
  
• Strong Python and PySpark development experience.
  
• Experience with Foundry Code Repositories .
  
• Strong understanding of Palantir Ontology .
  
• Hands-on experience with Foundry Workshop .
  
• Strong SQL and data engineering fundamentals.
  
• Experience building and deploying data pipelines.
  
• Good understanding of data modeling, data transformation, and data quality.
  

• Experience with Pipeline Builder and Foundry data integration.
  
• Experience with Ontology Manager and Ontology-driven applications.
  
• Knowledge of Foundry Functions / Actions .
  
• Experience with REST APIs and external system integrations.
  
• Experience with Git, CI/CD and Agile development.
  
• Experience working with large-scale enterprise data platforms.