Manufacturing Engineer - Data-Driven Process Improvement

Corning Incorporated; Wilmington (NC); On-site; USD 71,000 - 97,000; Full time

Benefits offered by this job

Bonuses and long-term incentives

Company-paid pension

Health benefits

Paid time off

Job summary

Corning Incorporated in Wilmington, NC is seeking a Manufacturing Engineer to monitor and improve established manufacturing processes and equipment. You will leverage data retrieval, analysis, and rigorous problem-solving methodologies to reduce cost, improve safety, quality, and output.

The role requires a BS in Mechanical, Chemical, or Materials Science and 1–4 years of manufacturing experience, with strong data analysis, Excel, and Access skills.

Qualifications

• BS or higher in Mechanical, Chemical or Materials Science.
• 1–4 years of experience in a manufacturing environment.
• Strong data analysis skills, proficiency with Excel and Access.
• Ability to handle multiple tasks, be directive and autonomous, and prioritize.

Responsibilities

• Work closely with development teams to maximize success of incoming manufacturing/products.
• Collect data for incoming products and compare vs. metrics.
• Perform trend analysis and monitor/response plans.
• Recommend improvements to manufacturing processes/equipment and drive robustness.
• Identify chronic issues and recommend corrective actions.
• Ensure accurate documentation for incoming manufacturing/products.
• Create manufacturing improvement corrective action plans and solutions.
• Provide inputs about equipment maintenance requirements and gaps.
• Coordinate with Operations and other sections to ensure understanding of new processes.

Skills

Data analysis

Excel (Pivot tables)

Access

Multitasking

Decision making

Communication

Education

BS in Mechanical, Chemical or Materials Science

Tools

PI manufacturing books

JMP

Minitab

CAD

Job description

Corning Incorporated in Wilmington, NC is seeking a Manufacturing Engineer to monitor and improve established manufacturing processes and equipment. You will leverage data retrieval, analysis, and rigorous problem-solving methodologies to reduce cost, improve safety, quality, and output.

The role requires a BS in Mechanical, Chemical, or Materials Science and 1–4 years of manufacturing experience, with strong data analysis, Excel, and Access skills.