Process Engineer - Sustaining Process Engineer

Job Description

Job Responsibilities

• Analyze and optimize production processes to ensure safety while maximizing Overall Equipment Effectiveness (OEE) in cost effective means while driving to achieve world-class quality levels
• Champion continuous improvement projects (CIP) to maximize yield, cycle time, availability, capacity, and capability. Report metrics to upper management
• Analyze data from various sources to identify trends in build quality and efficiency. Develop robust and clear data collection, visualization, and analysis tools. Enable data driven operational and financial decisions through predictive insights into tool and process performance, including integration of factory data systems and use of software such as MySQL, Python, Minitab, Tableau, and Ignition
• Review critical process metrics daily for statistical shifts from nominal and develop game plans to address
• Diagnose issues found during the manufacturing process, efficiently identify root cause utilizing structured problem-solving techniques such as DMAIC, Ishikawa, Five Why and 8D
• Manage workload with a positive attitude as a team player in a collaborative work environment
• Drive continual improvement activities with production staff using process audits and kaizen activities
• Support production operations. Perform supporting activities for engineering and manufacturing including 5S and Lean manufacturing activities, material handling improvements, production line configuration, and safety procedures
• Create and maintain Manufacturing Instructions, routings, and associated processes. Develop and train sustaining technicians, assist in the training of associates as needed

Job Requirements

• Bachelor’s Degree in Mechanical, Manufacturing, Industrial, or Chemical Engineering or other Engineering discipline, or equivalent in experience
• Ability to derive data-supported root causes and propose strong countermeasures. Tableau, and/or Minitab experience preferred. Must be able to pull data using efficient SQL queries
• Exceptional problem-solving skills and an aptitude for learning systems quickly
• Experience developing and improving Process. Have a demonstrated track record of Overall Equipment Effectiveness improvement activities
• Exceptional capacity for managing simultaneous activities and challenges
• Demonstrated experience in ramping a high volume, automated and semi-automated manufacturing line
• Strong ability to work and communicate effectively with team and peers within a manufacturing and engineering organization. This includes excellent written and verbal communication skills
• Experience developing and applying lean six sigma methodologies such as: Waste Reduction, Poka-Yoke, SPC, GR&R, DOE
• Experience Vision inspection systems preferred, such as Keyence 2D image inspection and profilometry preferred
• Ignition Automation, MES and/or Python experience is highly desired