Quality Engineer: Lean, Data-Driven Manufacturing

JBL Resources; North Carolina; On-site; USD 65,000 - 90,000; Full time

Job summary

JBL Resources seeks a Quality Engineer to provide daily QC support for manufacturing operations and to monitor processes against quality standards. You will investigate nonconforming material, support MRB activities, and drive CAPAs with cross-functional teams.

The role requires up to 2 years in engineering/quality with strong skills in root-cause analysis, problem solving, and data analysis using Excel and Power BI. A manufacturing environment experience is preferred.

Qualifications

• Bachelor's degree in engineering; up to 2 years of engineering/quality experience (internship or co-op in manufacturing preferred).
• Familiarity with root cause analysis, problem-solving techniques, and quality tools (Pareto, Control charts, Fishbone, 5 Whys, FMEA).
• Proficiency in Excel, Power BI, and Office apps; strong communication and teamwork.

Responsibilities

• Provide daily quality engineering support to manufacturing operations.
• Monitor production processes for compliance with procedures and quality requirements.
• Support containment, disposition, and resolution of nonconforming material.
• Participate in MRB activities and drive CAPAs with cross-functional teams.
• Collaborate with production to identify and resolve issues impacting safety, quality, and delivery.
• Investigate internal and customer-reported quality issues and perform root cause analysis.

Skills

Quality engineering

Root cause analysis

Problem solving

Data analysis

Cross-functional collaboration

Education

Bachelor's Degree in Mechanical Engineering

Bachelor's Degree in Electrical Engineering

Tools

Microsoft Excel

Power BI

Office applications

Job description

JBL Resources seeks a Quality Engineer to provide daily QC support for manufacturing operations and to monitor processes against quality standards. You will investigate nonconforming material, support MRB activities, and drive CAPAs with cross-functional teams.

The role requires up to 2 years in engineering/quality with strong skills in root-cause analysis, problem solving, and data analysis using Excel and Power BI. A manufacturing environment experience is preferred.