Palantir Foundry Engineer

Palantir Foundry Engineer

Location

Remote, USA

Experience

3+ Years of Hands-on Palantir Foundry Development

Job Overview

We are seeking an experienced Palantir Foundry Engineer with a minimum of 3 years of hands-on development experience within the Palantir Foundry ecosystem. The ideal candidate will have strong expertise in building enterprise-scale data pipelines, developing complex transformations, designing Foundry Ontology models, and creating operational applications using Foundry Workshop.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and transformation workflows in 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 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, lineage, governance, monitoring, and access controls.
• Optimize Foundry pipelines and applications for performance, scalability, and reliability.
• Troubleshoot data pipelines, integrations, 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.
• Demonstrated production experience building and deploying solutions using Palantir Foundry.
• Strong hands-on experience with Foundry Ontology, Pipeline Builder, Code Repositories, and Workshop.
• Proficiency in Python, SQL, and PySpark/Spark.
• Experience designing and developing enterprise-scale ETL/ELT workflows and data pipelines.
• Strong understanding of data modeling, data architecture, and data-quality principles.
• Experience integrating APIs, databases, cloud platforms, and enterprise data sources.
• Experience with Git-based development, testing, and CI/CD practices.
• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Experience with Palantir AIP and AIP Logic.
• Experience with Foundry APIs and SDKs.
• Experience developing Ontology-driven operational applications.
• Experience with GCP, AWS, or Azure.
• Palantir Foundry certifications or formal Palantir 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, Spark, data pipelines, data modeling, APIs, data quality
• Software Engineering: Git, CI/CD, automated testing, debugging, Agile methodologies