Find & Apply For Chemical / Process Engineer Jobs In Johnston, North Carolina
Chemical / Process Engineer jobs in Johnston, North Carolina involve designing and implementing processes for chemical manufacturing. Responsibilities include analyzing data, troubleshooting issues, and ensuring safety and efficiency. Engineers collaborate with teams to optimize production and adhere to regulations. These roles require a strong background in chemical engineering and problem-solving skills. Below you can find different Chemical / Process Engineer positions in Johnston, North Carolina.
Jobs in Johnston
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.
Process Control Engineer 2
E-Solutions Group
Johnston, NC
Senior Associate Process Development Engineer II / Process Development Engineer
Grifols
Johnston, NC
GCM EMTO Specialist
Novo Nordisk
Johnston, NC
Latest Jobs in Johnston
Salary Information & Job Trends In this Region
Chemical / Process Engineers in Johnston, North Carolina are responsible for overseeing and optimizing chemical processes to ensure efficiency and safety in various industries. - Entry-level Chemical / Process Engineer salaries range from $55,000 to $70,000 per year - Mid-career Chemical / Process Engineer salaries range from $70,000 to $90,000 per year - Senior-level Chemical / Process Engineer salaries range from $90,000 to $120,000 per year The role of Chemical / Process Engineers in Johnston, North Carolina has a rich history dating back to the industrial revolution, where advancements in chemical processes revolutionized manufacturing and production. Over time, the role of Chemical / Process Engineers has evolved to incorporate cutting-edge technologies, automation, and sustainability practices to meet the demands of a rapidly changing global economy. Current trends in the field of Chemical / Process Engineering in Johnston, North Carolina include a focus on renewable energy sources, waste reduction strategies, and the integration of data analytics and machine learning to optimize processes and minimize environmental impact.
