Manufacturing Process Engineer -

Food Manufacturing Date Posted:

6 October 2026

Closing Date:

November 5, 2026

Recruiter:

Cargill Location:

Watkins Glen, New York Salary:

USD105,000

to

USD140,000

Job Type & Industry:

Production, Manufacturing & Operations Contract Type:

Permanent Job Reference:

3007403200-2 Apply for this job now Job Description Cargill is seeking a Process Engineer to drive process excellence within our manufacturing operations. In this role, you will analyze and optimize production processes to improve yield, quality, and efficiency while maintaining the highest safety and food-quality standards. You will lead continuous improvement initiatives using Lean and Six Sigma tools, perform root cause analysis, and support commissioning and scale-up of new equipment. Collaborating closely with operations, maintenance, and quality teams, you will monitor performance metrics, reduce waste, and advance Cargill's sustainability goals. Cargill's culture of integrity, safety, and inclusion supports your professional growth through cross-functional projects, global exposure, and continuous learning opportunities that contribute to food security and sustainable agriculture worldwide. Responsibilities Analyze and optimize manufacturing processes to improve yield, quality, and efficiency Implement process improvements using Lean and Six Sigma methodologies Collaborate with operations, maintenance, and quality teams on root cause analysis and corrective actions Develop and maintain process documentation, SOPs, and work instructions Monitor production data and KPIs to identify trends and improvement opportunities Support commissioning, scale-up, and validation of new equipment and processes Ensure compliance with safety, environmental, and regulatory standards Provide technical support and training to operations staff Participate in cross-functional projects focused on sustainability and waste reduction Interface with vendors and engineering partners on technical solutions Required Skills Process optimization Statistical process control (SPC) Lean Manufacturing Six Sigma methodologies Root cause analysis (RCA) Process simulation and modeling Equipment troubleshooting Data analysis and reporting Auto CAD or similar design tools Knowledge of safety and environmental regulations