Palantir Foundry Engineer

Ampcus Inc.•Atlanta, GA

1d•Remote

About The Position

Ampcus Inc. is seeking an experienced Palantir Foundry Engineer to design, build, and maintain enterprise-scale data and operational solutions. The role requires at least three years of hands-on Palantir Foundry development and practical experience across the Foundry ecosystem, including data pipelines, transformations, Ontology, and Foundry-based applications. The position is listed for Atlanta, Georgia, and is remote. The engineer will integrate enterprise data from databases, APIs, cloud platforms, and other source systems; build and maintain datasets and workflows; and develop analytical and operational applications. The role also applies software-engineering practices to deliver reliable production solutions in collaboration with architects, data engineers, product owners, and business stakeholders. A background check is mandatory.

Requirements

At least 3 years of hands-on Palantir Foundry development experience.
Production experience building and deploying solutions using Palantir Foundry.
Hands-on experience with Foundry Ontology, Pipeline Builder, Code Repositories, and Workshop.
Strong proficiency in Python, SQL, and PySpark/Spark.
Experience designing and developing enterprise-scale ETL/ELT 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.
Strong troubleshooting and problem-solving skills.
Mandatory background check.

Nice To Haves

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.

Responsibilities

Design, develop, and maintain scalable Palantir Foundry data pipelines and transformation workflows.
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 solutions.
Apply software-engineering best practices, including version control, automated testing, CI/CD, documentation, and code reviews.