Quality Engineer II: Battery Manufacturing

Panasonic Avionics Corporation; De Soto (KS); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Tuition reimbursement

Job summary

Panasonic Energy in De Soto, Kansas, is expanding its lithium-ion battery manufacturing campus and seeking a Quality Engineer II. You’ll work with Operations, Engineering, and Maintenance to identify and resolve quality issues, drive process improvements, and support production with data-driven problem solving.

You’ll apply quality engineering fundamentals in a high-volume manufacturing environment, including DOE, CAPA, and statistical methods, while collaborating across teams to ensure product

Qualifications

• Bachelor’s degree in Mechanical, Industrial, Electrical, Manufacturing Engineering, Quality Management, or a related technical field.
• Master’s degree in Engineering, Quality Management, or a related discipline (preferred).
• Six Sigma Green Belt (or progress toward certification) is preferred.
• ASQ CQE certification is a plus.

Responsibilities

• Identify, investigate, and resolve quality issues, defects, and process deviations to ensure products meet specifications.
• Collaborate with Operations, Engineering, and Maintenance to support manufacturing quality and continuous improvement.
• Lead or participate in quality and process improvement initiatives using structured problem-solving methods (8D, A3, DMAIC).

Skills

Quality engineering

SPC

DOE

CAPA

Education

Bachelor's degree in Mechanical, Industrial, Electrical, Manufacturing Engineering, Quality Management, or related field

Master’s degree in Engineering, Quality Management, or related discipline

Six Sigma Green Belt

ASQ Certified Quality Engineer (CQE)

Tools

Java

SQL

Python

Job description

Panasonic Energy in De Soto, Kansas, is expanding its lithium-ion battery manufacturing campus and seeking a Quality Engineer II. You’ll work with Operations, Engineering, and Maintenance to identify and resolve quality issues, drive process improvements, and support production with data-driven problem solving.

You’ll apply quality engineering fundamentals in a high-volume manufacturing environment, including DOE, CAPA, and statistical methods, while collaborating across teams to ensure product