Find & Apply For Manufacturing Machine Operator Jobs In Stanly, North Carolina
Manufacturing Machine Operator jobs in Stanly, North Carolina involve operating machinery, ensuring production efficiency, and maintaining quality standards. Responsibilities include monitoring equipment, performing quality checks, and troubleshooting issues. These roles require attention to detail, technical skills, and the ability to work in a fast-paced environment. Below you can find different Manufacturing Machine Operator positions in Stanly, North Carolina.
Jobs in Stanly
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Machine Operator (Mill)
Ufp New London
Stanly, NC
Machine Operator (Mill)
UFP Industries
Stanly, NC
Machine Operator 2nd Shift
Martin Sprocket & Gear
Stanly, NC
Machine Operator
Fieldstone Cabinetry
Stanly, NC
Machine Operator 1
UFP Site Built
Stanly, NC
Machine Operator 1
UFP Industries
Stanly, NC
Machine Operator
Fortune Brands
Stanly, NC
Latest Jobs in Stanly
Salary Information & Job Trends In this Region
Manufacturing Machine Operators in Stanly, North Carolina, play a crucial role in operating and maintaining machinery in manufacturing facilities. - Entry-level Machine Operator salaries range from $30,000 to $35,000 per year - Mid-career Manufacturing Technician salaries range from $35,000 to $45,000 per year - Senior-level Production Supervisor salaries range from $45,000 to $55,000 per year The history of Manufacturing Machine Operators in Stanly, North Carolina, can be traced back to the industrial revolution when machinery began to revolutionize the manufacturing process in the region. As technology advanced, the role of Manufacturing Machine Operators evolved to include more specialized skills and knowledge in operating and troubleshooting complex machinery to ensure efficient production processes. Current trends in the manufacturing industry in Stanly, North Carolina, include the integration of automation and robotics to streamline production, a focus on sustainable manufacturing practices, and the implementation of data analytics to improve operational efficiency and quality control.
