2nd Shift Process Engineer

Jobot; Stamford (CT); Presencial; USD 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Excellent Benefits

401k

Room for Growth

Descripción de la vacante

Jobot in Stamford, CT is seeking a 2nd Shift Process Engineer to drive continuous improvement initiatives and lead Lean Manufacturing and Operational Excellence. The position offers a competitive salary of $90,000 - $130,000 per year and strong benefits.

You will partner with operations, maintenance, quality, engineering, and R&D to analyze manufacturing data, optimize cycle times, improve product quality, and ensure safety and regulatory compliance.

Formación

• Bachelor's degree in Engineering, Manufacturing Engineering, Chemical Engineering, Mechanical Engineering, Industrial Engineering, Physical Sciences, or a related technical field.
• AT LEAST A GREEN BELT IS REQUIRED.
• Minimum of 3 years of manufacturing process engineering experience.
• Experience leading process improvements using data analysis and root cause problem solving.

Responsabilidades

• Drive continuous improvement initiatives through data analysis, root cause investigations, and process optimization to improve productivity, quality, material utilization, and labor efficiency.
• Lead Lean Manufacturing and Operational Excellence initiatives to reduce waste and improve plant performance.
• Partner with operations, maintenance, quality, engineering, and R&D teams to evaluate manufacturing processes, optimize cycle times, and improve product quality.
• Develop and maintain process documentation, operating standards, and process parameters to ensure consistent production.
• Plan, execute, and evaluate process trials to validate improvements and implement sustainable solutions.
• Support capital projects by ensuring equipment and facility installations meet engineering, safety, and regulatory requirements.
• Assist with emergency response planning and process safety initiatives, including startup, shutdown, and operating procedures.
• Ensure all required environmental, health, and safety reporting is completed accurately and on time.

Conocimientos

Analytical skills

Communication

Organizational skills

Problem solving

Educación

Bachelor's degree in Engineering or related field

Herramientas

SAP

Descripción del empleo

2nd Shift Process Engineer

Salary: $90,000 - $130,000 per year

Why join us?

• $90,000 - $130,000 per year depending on Experience
• 4pm-12pm Position
• Room for Growth
• Excellent Benefits
• 401k

Job Details

• Drive continuous improvement initiatives through data analysis, root cause investigations, and process optimization to improve productivity, quality, material utilization, and labor efficiency.
• Support and promote a strong safety culture while ensuring compliance with all environmental, health, and safety regulations and company policies.
• Serve as a technical owner for key manufacturing processes and identify opportunities to improve reliability, consistency, and performance.
• Lead and support Lean Manufacturing and Operational Excellence initiatives to reduce waste and improve overall plant performance.
• Partner with operations, maintenance, quality, engineering, and R&D teams to evaluate manufacturing processes, optimize cycle times, and improve product quality.
• Develop and maintain process documentation, operating standards, and process parameters to ensure consistent production.
• Plan, execute, and evaluate process trials to validate improvements and implement sustainable solutions.
• Support capital projects by ensuring equipment and facility installations meet engineering, safety, and regulatory requirements.
• Assist with emergency response planning and process safety initiatives, including startup, shutdown, and operating procedures.
• Ensure all required environmental, health, and safety reporting is completed accurately and on time.
• Coordinate employee monitoring and industrial hygiene programs, including air sampling, hearing conservation, and other compliance activities.
• Analyze manufacturing data and present recommendations that improve yield, reduce conversion costs, and increase operational efficiency.
• Collaborate with plant leadership to establish and achieve operational goals and continuous improvement objectives.
• Perform additional engineering and operational support duties as needed.

Qualifications

• Bachelor's degree in Engineering, Manufacturing Engineering, Chemical Engineering, Mechanical Engineering, Industrial Engineering, Physical Sciences, or a related technical field.
• AT LEAST A GREEN BELT IS REQUIRED
• Minimum of 3 years of manufacturing process engineering experience.
• Experience leading process improvements using data analysis and root cause problem solving.
• Working knowledge of Lean Manufacturing, Six Sigma, ISO, or other Operational Excellence methodologies preferred.
• Experience with SAP or other manufacturing ERP systems is a plus.
• Strong understanding of manufacturing equipment, production processes, and continuous improvement principles.
• Ability to interpret technical documents, operating procedures, maintenance manuals, and regulatory requirements.
• Strong analytical, organizational, and problem solving skills.
• Excellent communication skills with the ability to collaborate across all levels of the organization.
• Proficiency with Microsoft Excel, Word, PowerPoint, Outlook, and other Microsoft Office applications.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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