Palantir Foundry Engineer

Title:  Palantir Foundry Engineer
Duration: 12 Months
Location: Remote (Only EST/CST)
Client Location:  Atlanta, GA

Role Overview
We are seeking an experienced Palantir Foundry Engineer with a minimum
of 3 years of hands-on Palantir Foundry development experience to
design, build, and maintain enterprise-scale data and operational
solutions.

The successful candidate will have deep practical experience developing
within the Foundry ecosystem, including data pipelines, transformations,
Ontology, and Foundry-based applications.

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 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, 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.

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.
•             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.

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: Foundry, Ontology, Pipeline Builder, Workshop,
Code Repositories, AIP
•             Languages: Python, SQL, PySpark
•             Data Engineering: ETL/ELT, Spark, data pipelines, data
modeling, APIs, data quality
•             Engineering: Git, CI/CD, automated testing, debugging,
Agile