Process Engineer

Process Control Engineer - Refinery (Contract) | Big Spring, TX Overview We are seeking experienced Process Control Engineers to support refinery operations in Big Spring, TX . This role will focus on providing hands-on control system support, optimizing unit performance, and ensuring safe, reliable operation across key refinery processes. The ideal candidate brings strong refinery experience and can quickly contribute to both day-to-day operations and troubleshooting efforts. Key Responsibilities Provide process control support for refinery units, ensuring stable and efficient operations Monitor and troubleshoot control systems, including loop tuning and performance optimization Partner with operations and engineering teams to resolve process upsets and operational issues Review and improve control strategies to align with current plant conditions and production goals Support root cause analysis and implement corrective actions for recurring issues Perform field verification activities such as instrumentation checks, loop validation, and system walkdowns Assist with unit optimization and continuous improvement initiatives Unit Experience (Preferred) Candidates should have experience in one or more of the following: Hydrotreating Reforming Utilities systems , including: Boilers Boiler Feed Water (BFW) systems Wastewater treatment Qualifications 5+ years of refinery experience preferred (process control or process engineering background) Hands-on experience with process control systems in a refining environment Strong understanding of process dynamics, control strategies, and unit operations Proven ability to troubleshoot and solve moderately complex operational problems Comfortable working in both field and control room environments Strong communication and teamwork skills Work Environment & Schedule Onsite role in Big Spring, TX Combination of control room support and field-based activities Standard refinery work schedule, with flexibility based on operational needs #INDG Process Engineer 4.1 4.1 out of 5 stars Big Spring, TX 79720 Contract PTS Advance 28 reviews Contract Process Control Engineer - Refinery (Contract) | Big Spring, TX Overview We are seeking experienced Process Control Engineers to support refinery operations in Big Spring, TX . This role will focus on providing hands-on control system support, optimizing unit performance, and ensuring safe, reliable operation across key refinery processes. The ideal candidate brings strong refinery experience and can quickly contribute to both day-to-day operations and troubleshooting efforts. Key Responsibilities Provide process control support for refinery units, ensuring stable and efficient operations Monitor and troubleshoot control systems, including loop tuning and performance optimization Partner with operations and engineering teams to resolve process upsets and operational issues Review and improve control strategies to align with current plant conditions and production goals Support root cause analysis and implement corrective actions for recurring issues Perform field verification activities such as instrumentation checks, loop validation, and system walkdowns Assist with unit optimization and continuous improvement initiatives Unit Experience (Preferred) Candidates should have experience in one or more of the following: Hydrotreating Reforming Utilities systems , including: Boilers Boiler Feed Water (BFW) systems Wastewater treatment Qualifications 5+ years of refinery experience preferred (process control or process engineering background) Hands-on experience with process control systems in a refining environment Strong understanding of process dynamics, control strategies, and unit operations Proven ability to troubleshoot and solve moderately complex operational problems Comfortable working in both field and control room environments Strong communication and teamwork skills Work Environment & Schedule Onsite role in Big Spring, TX Combination of control room support and field-based activities Standard refinery work schedule, with flexibility based on operational needs #INDG