Data Engineer - Palantir

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice‑controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem‑solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems.

There is never a dull moment with us.

The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.

The Data Engineer (Palantir) is responsible for designing, developing, and managing end‑to‑end solutions on the Palantir Foundry platform. This role delivers scalable, governed data pipelines, ontologies, and applications that enable analytics and operational decision‑making. The engineer works independently on medium‑complexity deliverables and collaborates with cross‑functional teams to ensure reliable production solutions.

• Design, build, and maintain end‑to‑end data pipelines within Palantir Foundry, covering ingestion, transformation, and persistence.
• Develop and manage Foundry datasets, transforms, and pipelines using Python and SQL.
• Build and maintain Foundry Ontologies, modeling business entities, relationships, and workflows.
• Develop Foundry applications and analytical workflows (e.g., Workshop‑based solutions) to support business and operational use cases.
• Promote solutions from development to production following platform, quality, and governance standards.

• Support and operate Palantir Foundry environments (development, test, production).
• Monitor pipeline health, data quality, and performance; troubleshoot and resolve platform or data issues.
• Implement and maintain data access controls, permissions, and governance rules in alignment with security and compliance requirements.
• Partner with platform administrators to follow operational best practices and platform standards.

• Integrate Palantir Foundry with enterprise data sources such as SAP, Snowflake, relational databases, APIs, and flat files.
• Ensure data accuracy, lineage, and consistency across the data lifecycle.
• Apply performance and scalability best practices for enterprise‑scale data volumes.

• Partner with business stakeholders, data analysts, and data scientists to translate requirements into scalable Foundry solutions.
• Participate in design reviews, code reviews, and solution walkthroughs.
• Create and maintain technical documentation and operational runbooks.

• Experience integrating Foundry with SAP, Snowflake, Azure, or AWS ecosystems.
• Exposure to manufacturing, finance, supply chain, or operations analytics use cases.
• Familiarity with Foundry Code Repositories, version control (Git), and CI/CD concepts.
• Experience supporting production systems and operational analytics.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
• Minimum six (6) years of experience in data engineering,…