Foundry Data Engineer for GIS & Cloud Pipelines

Kforce Inc; Armonk (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical & dental insurance

401(k) matching

Paid time off

Job summary

Kforce has a client in Armonk, NY seeking a Palantir Foundry Data Engineer to design, develop, and optimize data pipelines across large enterprise datasets. The ideal candidate will work with Palantir Foundry, PySpark, Databricks, SQL, and Azure-based data ecosystems.

You will integrate geospatial data, support operational workflows, ensure data quality and governance, and collaborate with business stakeholders, product teams, and technical resources to deliver scalable data solutions.

Qualifications

• Hands-on Palantir Foundry experience required.
• Strong PySpark and Databricks skills.
• Proficiency in SQL and Azure data services.
• Experience with geospatial data and GIS workflows.
• Excellent communication and collaboration abilities.

Responsibilities

• Design, develop, and maintain Palantir Foundry data pipelines.
• Build Foundry ontology objects and workflow integrations.
• Develop scalable ETL/ELT solutions with PySpark and Databricks.
• Integrate data from Snowflake, SQL Server, ODS and GIS systems.
• Ensure data quality, governance, and security across platforms.
• Collaborate with stakeholders to implement data solutions.

Skills

Palantir Foundry

PySpark

Databricks

SQL

TypeScript

Azure

Geospatial data

Data governance

Data pipelines

Collaboration

Tools

Snowflake

SQL Server

ODS

Databricks

Job description

Kforce has a client in Armonk, NY seeking a Palantir Foundry Data Engineer to design, develop, and optimize data pipelines across large enterprise datasets. The ideal candidate will work with Palantir Foundry, PySpark, Databricks, SQL, and Azure-based data ecosystems.

You will integrate geospatial data, support operational workflows, ensure data quality and governance, and collaborate with business stakeholders, product teams, and technical resources to deliver scalable data solutions.