Palantir Foundry Engineer
Job Description: Palantir Foundry Engineer Work Location: Remote – US Role Overview We are seeking an experienced Palantir Foundry Engineer with a minimum of 3 years of hands-on experience developing, deploying, and maintaining enterprise-scale data and operational solutions using Palantir Foundry. The ideal candidate will have strong expertise in data pipelines, transformations, Foundry Ontology, and Foundry-based applications.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and transformation workflows using Palantir Foundry. Build complex data transformations using Python, PySpark, and SQL. Design and implement Foundry Ontology objects, properties, relationships, and actions. Develop analytical and operational applications using Foundry Workshop and related Foundry capabilities. Integrate enterprise data from databases, APIs, cloud platforms, and other source systems. Build and maintain datasets using Pipeline Builder and Code Repositories. Implement data quality controls, data lineage, governance, monitoring, and access controls. Optimize data pipelines and applications for performance, scalability, and reliability. Troubleshoot data pipeline, integration, and application issues. Collaborate with architects, data engineers, product owners, and business stakeholders to translate requirements into production-ready solutions. Follow software engineering best practices, including version control, automated testing, CI/CD, documentation, and code reviews.
Required Qualifications
Minimum 3 years of hands-on Palantir Foundry development experience. Proven experience building and deploying production solutions using Palantir Foundry. Strong expertise in Foundry Ontology, Pipeline Builder, Code Repositories, and Workshop. Proficiency in Python, SQL, and PySpark/Spark. Experience designing and developing enterprise-scale ETL/ELT processes and data pipelines. Strong understanding of data modeling, data architecture, and data quality principles. Experience integrating APIs, databases, cloud platforms, and enterprise data sources. Hands-on experience with Git-based development, testing, and CI/CD. Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
Experience with Palantir AIP and AIP Logic. Familiarity with Foundry APIs and SDKs. Experience developing Ontology-driven operational applications. Exposure to cloud platforms such as GCP, AWS, or Azure. Palantir Foundry certifications or formal training. Experience delivering Foundry solutions in large enterprise environments. Core Technical Skills Palantir Technologies: Foundry, Ontology, Pipeline Builder, Workshop, Code Repositories, AIP Programming Languages: Python, SQL, PySpark Data Engineering: ETL/ELT, Apache Spark, Data Pipelines, Data Modeling, APIs, Data Quality Software Engineering: Git, CI/CD, Automated Testing, Debugging, Code Reviews Methodologies: Agile Development, Documentation, Production Support