Data Engineer

Data Engineer

Date: Jun 11, 2026

Location: Phoenix, AZ, US, 85353

Company: Corning

Requisition Number: 74967

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.

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.

Our Solar business delivers industry leading, U.S.

-made solar components. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers.

The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is focused on manufacturing operations, plant performance, and KPI/reporting development, and is responsible for identifying improvement opportunities and developing technical solutions that enable data-driven decision-making, process improvement, and operational excellence across manufacturing, warehouse, and business operations.

Working closely with AMPS leadership, functional teams, IT, and business stakeholders, the Data Engineer will help define data requirements, reporting strategy, KPI standards, and analytical solutions that support startup readiness and long-term performance.

• Identify opportunities to improve data visibility, reporting effectiveness, process performance, and business decision-making across AMPS operations, and translate business needs into practical technical solutions.
• Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.
• Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data requirements, reporting priorities, performance measures, and sustainable business rules across functions.
• Support operational excellence initiatives by enabling root cause analysis, performance tracking, standardized metrics, and data-driven process improvements.
• Help establish standards for data governance, data quality, reporting consistency, and reporting design to support scalable and reliable solutions.
• Provide direction and recommendations on reporting strategy, technical design, and best practices to support cross-functional alignment and long-term sustainability.
• Identify and resolve data-related issues across reports, data sources, and operational systems, and document key definitions, reporting logic, and KPI calculations to support consistency and knowledge transfer.
• Participate in startup and transformation initiatives that establish AMPS digital, reporting, analytics, and process improvement capabilities.

• Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant experience.
• 3–7 years of experience in data engineering, business intelligence, analytics, reporting development, operational excellence, process improvement, or related technical roles.
• Experience designing and implementing data structures, data models, reporting solutions, analytics frameworks, or performance measurement tools in a business environment.
• Proficiency with SQL and experience with data querying, transformation, validation, and 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…