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Process Engineer II

Job in Gastonia, Gaston County, North Carolina, 28054, USA
Listing for: UBE Corporation America Inc.
Full Time position
Listed on 2026-10-28
Job specializations:
  • Engineering
    Process Engineer, Lean Manufacturing / Six Sigma, Quality Engineering, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

Description

Position Summary

We are seeking a Process Engineer to support manufacturing operations through the application of engineering principles, data analysis, and continuous improvement methodologies. This role plays a key part in improving process safety, product quality, equipment reliability, productivity, and cost performance across the site.

The Process Engineer will work closely with Operations, Maintenance, Quality, EHS, Supply Chain, and Technical teams to troubleshoot manufacturing issues, optimize process performance, support new product introductions, and implement sustainable operational improvements. This position offers an excellent opportunity for an engineer who enjoys solving complex technical problems and driving measurable business results.

What You'll Do Process Optimization & Manufacturing Support
  • Monitor and analyze production processes to identify opportunities for improved efficiency, quality, and throughput.
  • Investigate process upsets, quality deviations, and equipment performance issues using structured root cause analysis methodologies.
  • Develop and implement corrective and preventive actions to improve process stability.
  • Support Management of Change (MOC), Process Safety Management (PSM), and operational excellence initiatives.
  • Maintain process documentation, including standard operating procedures, process flow diagrams, and engineering standards.
Continuous Improvement
  • Lead and support projects focused on reducing waste, improving yield, increasing capacity, and lowering manufacturing costs.
  • Apply Lean Manufacturing, Six Sigma, and statistical analysis techniques to improve operational performance.
  • Track and report key process performance indicators and improvement opportunities.
  • Partner with production teams to identify and implement best practices.
Quality & Process Capability
  • Analyze process variability and support initiatives to improve product consistency and process capability.
  • Utilize statistical process control (SPC) and data analytics tools to monitor critical process parameters.
  • Support customer quality improvement initiatives and manufacturing investigations.
  • Participate in risk assessments and process hazard reviews.
New Product Introduction & Technology Implementation
  • Support scale-up, validation, and commercialization of new products and technologies.
  • Develop manufacturing instructions and technical documentation for new processes.
  • Collaborate with R&D, Technical Service, Quality, and Operations teams to successfully transfer new products into production.
Capital Projects & Reliability Improvement
  • Participate in capital improvement projects supporting safety, quality, capacity, and reliability objectives.
  • Assist with equipment selection, commissioning, startup activities, and project implementation.
  • Support automation and process control improvement initiatives.
Qualifications Required
  • Bachelor's degree in Chemical Engineering (minimum)
  • Strong analytical and problem-solving skills.
  • Ability to interpret technical data and make data-driven recommendations.
  • Effective written and verbal communication skills.
  • Proficiency with Microsoft Office applications, particularly Excel.
Preferred
  • Manufacturing, chemical, process, or industrial experience through internships, co-op assignments, or professional employment.
  • Experience with Lean Manufacturing, Six Sigma, SPC, or continuous improvement methodologies.
  • Familiarity with process control systems, data historians, or engineering software tools.
  • Knowledge of Process Safety Management principles and risk assessment methodologies.
Success in This Role

Successful candidates will demonstrate the ability to:

  • Analyze complex manufacturing problems and develop practical solutions.
  • Collaborate effectively across multiple functions and…
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