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Data Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Corning Incorporated
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 87000 - 119000 USD Yearly USD 87000.00 119000.00 YEAR
Job Description & How to Apply Below
Data Engineer

Date: Sep 18, 2026

Location: Phoenix, AZ, US, 85353

Company: Corning

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 data querying, transformation, and validation

  • Experience with reporting or visualization tools such as Power BI, Tableau, SAP reporting tools, or similar platforms

  • Experience working with ERP, manufacturing, warehouse, or operational systems

  • Strong analytical, problem-solving, and technical troubleshooting skills, with the ability to communicate effectively across technical and non-technical teams.

  • Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

Desired Qualifications
  • Experience supporting a new site startup, major implementation, or large-scale business transformation

  • Experience in a manufacturing, warehouse, supply chain, or plant environment, including SAP data, ERP reporting, or operational data environments

  • Experience with process improvement, KPI…

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