Data Engineer

About the role

Michelin has an immediate opening for a Data Engineer at its BF Goodrich tire plant in Woodburn, Indiana, about 30 minutes east of Fort Wayne. The engineer helps build, develop, maintain and support data and analytics systems, working autonomously within a collaborative team.

Key responsibilities

• 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 meet the Michelin Group's requirements for security, reliability and confidentiality.
• Ensure data quality, performance, security and compliance with data governance guidelines.
• Collaborate with data analysts, business analysts and data scientists to understand requirements and deliver design solutions.
• Deploy and optimize data pipelines so data flows efficiently, securely and consistently, in line with architectural standards.
• Diagnose and resolve data issues and provide technical support to data teams.

Required profile

• At least 1 to 3 years of experience in computer science, information systems management, application development, data analytics or a related technical field; internships, co-ops, apprenticeships or military service count.
• A BS in computer engineering, computer science, data engineering, data science or another technical degree, or equivalent experience, is preferred.
• Ability to set priorities, work independently and deliver results with minimal direction.
• Proven success working across teams and communicating clearly in diverse, multi-functional environments.
• Skilled at analyzing data, identifying patterns and paying close attention to detail.

Required skills

• Proficiency with OSI or AVEVA PI systems is a plus.

The position is not available for immigration sponsorship. Career growth includes personalized development plans, mentorship and cross-functional opportunities.