First Shift Process Technician - Injection Molding Optimization

Essentra Components Ltd; Erie (Erie County); On-site; USD 52,000 - 68,000; Full time

Benefits offered by this job

First Shift schedule

Competitive pay

Comprehensive benefits and performance

Career growth

Job summary

Essentra Components Ltd in Erie, PA is seeking a First Shift Process Technician to optimize plastics manufacturing processes, improve quality, and drive continuous improvements. The role focuses on data-driven problem solving, equipment performance, and sustainable manufacturing practices.

The candidate will lead efficiency initiatives, troubleshoot molding issues, and collaborate with Production, Quality, Engineering, and Maintenance teams to deliver world-class manufacturing results on the

Qualifications

• Experience optimizing processes in a plastics injection molding environment.
• Ability to analyze manufacturing data and identify trends.
• Experience conducting root cause analysis to resolve process-related issues.
• Knowledge of molding processes and machine troubleshooting.

Responsibilities

• Lead initiatives to improve efficiency, reduce cycle times, and maximize equipment performance.
• Drive Quality Excellence and ensure product consistency.
• Conduct testing, troubleshoot process issues, and perform root cause analysis.
• Develop and implement process enhancements to increase productivity and reliability.
• Monitor production metrics, analyze trends, and apply data-driven decisions.
• Collaborate with Production, Quality, Engineering, and Maintenance teams to optimize processes.
• Support sustainability initiatives by reducing waste and improving material utilization.

Skills

Process optimization

Data analysis

Root cause analysis

Molding knowledge

Education

Technical certification or applicable degree

Job description

Essentra Components Ltd in Erie, PA is seeking a First Shift Process Technician to optimize plastics manufacturing processes, improve quality, and drive continuous improvements. The role focuses on data-driven problem solving, equipment performance, and sustainable manufacturing practices.

The candidate will lead efficiency initiatives, troubleshoot molding issues, and collaborate with Production, Quality, Engineering, and Maintenance teams to deliver world-class manufacturing results on the