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Ann Arbor, Michigan, United States
Onsite
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.Group/Division
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.Job Description/Preferred Qualifications
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
Palantir Platform Development
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.
Platform Operations & Governance
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.
Data Integration & Engineering
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.
Collaboration & Documentation
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.
Preferred Qualifications
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.
Minimum Qualifications
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, analytics engineering, or software engineering.
Hands‑on experience with Palantir Foundry, including:
Data ingestion and transformation pipelines
Ontology design and management
Application or workflow development
Strong proficiency in Python and SQL.
Experience working with enterprise‑scale data platforms and complex data models.
Solid understanding of data governance, security, and access control concepts
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.