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# Data Engineer

- **Company:** MICHELIN
- **Location:** Greenville, SC, United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Data Analysis, Computer Engineering, Information Engineering, Data Governance, Data Systems, Open Systems Interconnection (OSI), Software Engineering, Data Streaming, Information Technology, Data Analytics, Data Pipelines
- **Published:** September 19, 2026
- **Apply:** https://michelinhr.wd3.myworkdayjobs.com/Michelin/job/GREENVILLE-SC/Data-Engineer_R-2026032949

## About the Role

* Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application Development, Data Analytics or related technical experience. For Entry Level, this can include internship, Co-op, apprentices, military service, or similar programs.
 * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or equivalent experience is preferred.
 * Proficiency in the use of OSI or AVEVA PI systems is a plus.
 * Ability to set priorities, work independently, and consistently deliver results with minimum supervision.
 * Proven success working across teams, with the ability to clearly communicate in diverse, multi-functional environments.
 * Skilled at analyzing data, identifying patterns, and ensuring a high level of accuracy and attention to detail in all work.

## Description

Jump start your career at our PRIME facility located in Greenville, SC, where our products are known for setting lap records, and our site is known for innovation! Our market niche is delivering ultra-high-performance tires to our customers., * Develop, build, maintain, and support scalable data systems and pipelines that enable reliable analytics and reporting.

 * Collect data from different sources and automate its ingestion, cleaning, structuring, and enrichment for business use.
 * Analyze needs expressed by key business resources and document solutions that align with the Michelin Group's requirements in terms of security, reliability, and confidentiality.
 * Ensures data quality, performance, security, and compliance with data governance guidelines.
 * Collaborate with data analysts, business analysts, and data scientists to understand requirements, and deliver effective design solutions.
 * Deploy and optimize data pipelines to ensure efficient, secure, and consistent data flow aligned with architectural standards.
 * Diagnose and resolve data issues and provide technical support to data teams to ensure smooth operations.


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