Process Engineer

Winland Foods•North East, PA

18d•$73,000 - $124,000•Onsite

About The Position

A Process Engineer is responsible for designing, implementing, optimizing, and maintaining industrial processes and systems. They ensure production efficiency, cost-effectiveness, and product quality, while adhering to safety and environmental standards. Process Engineers collaborate across teams (specifically between Operations, Maintenance, and Engineering) to improve manufacturing operations and troubleshoot issues.

Requirements

Bachelor's degree in Mechanical Engineering, Industrial Engineering, or a related field.
1 – 3 years of experience in an Engineering role or related discipline
Experience in a manufacturing environment
Strong analytical and problem-solving skills.
Knowledge of Six Sigma, Lean Manufacturing, Total Productive Maintenance (TPM), and other continuous improvement methodologies.
Excellent communication and teamwork abilities.
Understanding of safety and environmental standards.
Strong strategic thinking and analytical skills, with the ability to translate data into actionable insights and recommendations.
Excellent communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across all levels of the organization.
Results-oriented mindset with a focus on driving business growth and achieving KPIs.
Strong project management skills, with the ability to prioritize and manage multiple initiatives in a fast-paced environment.

Nice To Haves

Experience working in a consumer-focused industry (retail, consumer goods, etc.) is preferred.

Responsibilities

Develop and improve manufacturing processes to increase efficiency and reduce waste.
Analyze workflows and systems to identify bottlenecks and areas for improvement.
Support and measure adherence to continuous improvement systems (specifically Centerline, Clean Inspect Lubricate, Planned Maintenance, and Training).
Lead and participate in process improvement projects.
Monitor process performance using data and KPIs.
Conduct statistical analyses to ensure processes meet specifications and quality standards.