Find & Apply For Industrial Engineer Jobs In Lee, Alabama
Industrial Engineer jobs in Lee, Alabama involve optimizing production processes, reducing costs, and improving efficiency. Responsibilities may include analyzing data, designing systems, and implementing solutions to enhance productivity. Engineers collaborate with teams to streamline operations and ensure quality standards are met. Strong problem-solving skills and a background in engineering are essential. Below you can find different Industrial Engineer positions in Lee, Alabama.
Jobs in Lee
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.
Production Support Manager
Seohan Auto USA Corporation
Lee, AL
Unclassified
Lee, AL
Process Engineer
Ecoplastic Automotive America Corp.
Lee, AL
Process Engineer
West Fraser Timber
Lee, AL
Process Engineer
West Fraser Timber
Lee, AL
Latest Jobs in Lee
Salary Information & Job Trends In this Region
Industrial Engineers in Lee, Alabama optimize processes and systems to improve efficiency and productivity. - Entry-level Industrial Engineer salaries range from $55,000 to $68,000 per year - Mid-career Industrial Engineer salaries range from $70,000 to $85,000 per year - Senior Industrial Engineer salaries range from $90,000 to $110,000 per year Industrial engineering in Lee, Alabama has a rich history, tracing back to the early industrialization of the region. Initially focused on the textile industry, engineers in Lee adapted their skills to support a variety of manufacturing sectors. Over the years, industrial engineering in Lee has evolved from simple time studies and the optimization of worker productivity to encompassing advanced data analytics and automation technologies. This shift reflects broader trends in the field and the growing complexity of production systems. Today, trends in industrial engineering in Lee, Alabama include the integration of IoT (Internet of Things) for real-time data tracking, the use of AI (Artificial Intelligence) to predict maintenance needs, and sustainable practices to minimize environmental impact and reduce costs.
