Data Engineer
Corning · Phoenix, AZ, US, 85353 · United States · On-site
Pay: USD 86,722 – 119,244 a year
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Requisition Number: 74967
The company built on breakthroughs. Join us.
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Our Solar business delivers industry leading, U.S.-made solar components. We manufacture hyper-pure polysilicon, high-quality solar wafers, and innovative photovoltaic modules, leveraging our leadership in advanced manufacturing to serve growing energy demand. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers.
Position Summary
Corning is developing the future of solar module manufacturing in Tolleson, AZ, and we're looking for a Manufacturing Data Engineer to build the data, reporting, and analytics foundation from the ground up. This high-impact role sits at the intersection of data engineering and manufacturing operations, owning KPI development, plant performance reporting, and analytical solutions that enable data-driven decision-making and operational excellence across manufacturing, warehouse, and business functions.
Key Responsibilities
Design, develop, and implement data structures, dashboards, scorecards, and KPI frameworks that support startup operations and long-term business performance
Partner with operations, supply chain, quality, finance, and IT to define data requirements, reporting priorities, and performance measures across functions
Support operational excellence initiatives through root cause analysis, performance tracking, standardized metrics, and data-driven process improvements
Establish and maintain standards for data governance, data quality, and reporting consistency to ensure scalable and reliable solutions
Identify and resolve data-related issues across reports and systems; document key definitions, reporting logic, and KPI calculations
Required Qualifications
Bachelor's degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or a related field; or equivalent combination of education and relevant experience
3+ years of experience in data engineering, business intelligence, analytics, or reporting development
Experience designing and implementing data structures, data models, reporting solutions, or performance measurement tools
Proficiency in SQL; experience with…