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# Digital Engineer

- **Company:** Corning
- **Location:** Newton, NC, United States
- **Experience:** Experienced
- **Salary:** $86,722.0 - $119,244.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Information Systems, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Technical Data Management Systems, Grafana, Information Technology, Data Analytics
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a99719e3b2448d0f

## About the Role

* Bachelor's degree in Mechatronics, Industrial Engineering, Process Engineering, Digital Transformation, Computer Science, Data Analytics, Information Systems, Automation, or a related technical field
 * Minimum 3 years of experience in manufacturing, process engineering, industrial engineering, automation, data analytics, or digital transformation, including hands-on exposure to a manufacturing environment
 * Practical experience supporting or implementing digital, automation, data, dashboard, MES, data acquisition, or other technology-related projects in manufacturing
 * Hands-on experience with data analysis, reporting, or visualization tools such as Power BI, SQL, Python, Grafana, Excel, or similar platforms

## Description

As a Digital Engineer, you will support Manufacturing 4.0 and digital transformation initiatives by working closely with manufacturing, operations, engineering, IT, and data teams. You will help understand business and shop-floor challenges, translate them into practical digital solutions, and support their implementation and adoption across manufacturing environments., * Support digital transformation and Manufacturing 4.0 projects from problem definition and requirements gathering through pilot, implementation, adoption, and sustainment.

 * Partner with manufacturing teams to identify operational opportunities and implement digital solutions such as dashboards, data collection workflows, traceability solutions, MES-related initiatives, and automation projects.
 * Collect, validate, and analyze manufacturing data and support reporting and visualization using tools such as Power BI, SQL, Python, Grafana, or similar technologies.
 * Work across business and technical teams to translate manufacturing needs into clear digital requirements, support user adoption, and help scale successful solutions across operations.