Palantir Foundry Engineer

Job Description: Palantir Foundry Engineer

Work Location: Remote – US
Role Overview

We are seeking an experiencedPalantir 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