Palantir Foundry Engineer

Remote

Our client seeks a Palantir Foundry Engineer to establish Foundry as the central hub for enterprise inventory data. The role will design and implement ingestion, transformation, modeling, and distribution within Foundry and integrate external enterprise applications. The engineer will operate autonomously, deliver production-grade pipelines, and ensure a durable source of truth for inventory data. AI and advanced analytics are out of scope for this phase.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $100.00 to $160.00/hr. w2

Responsibilities

• Build data ingestion pipelines to bring inventory and related enterprise data into Palantir Foundry from multiple source systems.
• Design and implement a unified inventory data model within Foundry to support durable, trustworthy data.
• Develop transformation pipelines and lineage to standardize, cleanse, and conform source data.
• Create distribution outputs from Foundry to downstream consuming systems and applications.
• Engineer integrations between Foundry and external enterprise platforms and services.
• Establish best practices for data modeling, versioning, and reliability within the Foundry ecosystem.
• Own deliverables end-to-end with minimal oversight and collaborate with a small, focused team.

Experience Requirements

• Hands-on Palantir Foundry development experience with ability to write code and build integrations within Foundry.
• Proven experience implementing ingestion, transformation, and end-to-end pipeline development in Foundry.
• Demonstrated success integrating Foundry with external enterprise systems.
• Strong data modeling capabilities to support a reliable source of truth.
• Solid data engineering background, ideally with prior work on platforms such as Snowflake or Databricks.
• Strong software engineering fundamentals.
• Experience in OSS/BSS or telecom environments (preferred).
• Background in large-scale enterprise data environments (preferred).
• Profile emphasizing engineering depth over certification breadth (preferred).