Process Engineer: Plywood Production & Process Optimization

Georgia-Pacific LLC; Prosperity (SC); On-site; GBP 62,000 - 85,000; Full time

Benefits offered by this job

medical

dental

vision

flexible spending and health savings

life insurance

ADD

disability

retirement

paid vacation/time off

educational assistance

fertility assistance

paid parental leave

adoption assistance

Job summary

Georgia-Pacific is seeking a Process Engineer for our Prosperity Plywood mill in Prosperity, South Carolina. This role focuses on improving operational efficiency, safety, and waste reduction within a batch manufacturing framework under PBM.

You will support production through data-driven analysis and cross-functional teamwork to deliver measurable performance gains. Ideal candidates have experience as a Process Engineer, strong data analytics skills, and a background in manufacturing.

Qualifications

• Proficiency in data analytics and statistics is required.
• Experience in a manufacturing environment is required.
• Previous experience as a Process Engineer is preferred.

Responsibilities

• Apply Principle-Based Management to make sound decisions and pursue value.
• Develop understanding of mill processes and equipment reliability plans to improve throughput, quality, and downtime.
• Ensure safe handling of combustible dust hazards and oversight of fire systems when needed.
• Lead environmental, health, and safety compliance, audits, risk assessments, and incident analysis.
• Manage process data quality, reporting, and KPI communication.

Skills

Data analytics

Statistics

Manufacturing experience

Education

Associate's or Bachelor's Degree in Engineering

Job description

Georgia-Pacific is seeking a Process Engineer for our Prosperity Plywood mill in Prosperity, South Carolina. This role focuses on improving operational efficiency, safety, and waste reduction within a batch manufacturing framework under PBM.

You will support production through data-driven analysis and cross-functional teamwork to deliver measurable performance gains. Ideal candidates have experience as a Process Engineer, strong data analytics skills, and a background in manufacturing.