[Hiring] Palantir Foundry Engineer @Weekday AI

Role Description

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.

• 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.

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.

Requirements

• 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.

Must-have skills

• Palantir Foundry
• Python
• SQL

Good-to-have skills

• Palantir AIP
• LLM integration
• AI agents