Job Description The Quality Engineer will play a crucial role in problem solving for the plant. Starting their day at 6:15 AM with a carrier meeting to discuss the previous night's events and plan the day ahead. This role involves managing the fast response process for the entire plant, tracking SPQRC (safety, productivity, quality, responsiveness, and cost), and addressing quality and scrap issues, such as leading initiatives to discover the causes of broken tools on the crank line. Responsibilities include attending staff meetings on Mondays, participating in throughput improvement meetings, conducting PFEMA process cross-functional reviews, tracking sediment within the facility, and attending weekly basket weave meetings as part of the lean management system. The role also involves addressing issues on the machine line, focusing on data from QDAS, and tracking and eliminating scrap. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3-5 years of quality engineering experience in a manufacturing environment (automotive preferred, with a focus on assembly or machining) Proficiency in any statistical process control SPC (ex. QDAS or Minitab for analyzing capability data from gauging systems) Strong Excel skills, including VLOOKUPs and formulas Excellent problem-solving skills, particularly in the 5-phase approach Knowledge of risk reduction through PFEMA (Process Failure Mode and Effects Analysis) - experience with Kaizen and continuous improvement is highly desirable Shift time 6 AM-3:30 PM (9 hour shift - 45 hours per week) Bachelor's in Engineering Leadership or supervisory experience is a plus