Senior Palantir Foundry Data Engineer - Remote Opportunity

About the Role

Madison-Davis is currently in search of a Senior Palantir Foundry Data Engineer for a large consulting firm in Atlanta, GA. This is a permanent, full-time role that offers a unique opportunity to work with cutting-edge technologies in the AI and data engineering space. As a Senior Palantir Foundry Data Engineer remote professional, you will play a crucial role in supporting a major initiative with a global organization focused on expanding their Palantir Foundry and Artificial Intelligence Platform (AIP) capabilities.

What You'll Do

• Design and implement scalable data pipelines and operational applications within the Palantir ecosystem.
• Enhance existing Foundry environments and support new platform implementations.
• Collaborate with cross-functional teams to develop AI-driven data workflows and automation initiatives.
• Utilize your expertise in PySpark and TypeScript to deliver high-quality solutions.
• Manage and optimize data connections, code repositories, and batch scheduling within the Foundry framework.

Requirements

• 4-7+ years of total experience in Data Engineering or AI Engineering.
• Minimum of 3+ years of hands-on experience with Palantir Foundry.
• Strong production-level experience with Foundry Development, specifically using PySpark and TypeScript.
• Proficient in managing data connections, code workbooks, and real-time data ingestion.
• Experience with Palantir Artificial Intelligence Platform (AIP) is highly preferred.

Nice to Have

• Familiarity with AIP Agentic workflows and AI-enabled operational applications.
• Knowledge of DevOps practices and tools.
• Experience in building and deploying data-driven applications.

What We Offer

• Competitive salary range of $120,000 - $150,000 per year.
• Relocation assistance for out-of-state candidates.
• Visa sponsorship available for qualified candidates.
• Opportunity to work on innovative projects with a global impact.
• Flexible working arrangements with a focus on remote work.