Reliability Engineer: Rotating Equipment & Compression Analytics

Energy Transfer; Midland (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Energy Transfer seeks a reliability-focused engineer to improve the performance of rotating equipment and compression assets. The role blends reliability programs, data analytics, and process optimization to drive asset performance and operational excellence.

You will lead testing, modeling, and optimization to boost reliability, efficiency, and capacity while developing predictive insights and dashboards. Strong programming with Python and SQL helps support automation and reporting.

Qualifications

• Bachelor’s in Engineering preferred (Mechanical or Chemical).
• 3–6 years of relevant engineering experience; recent graduates considered.
• Knowledge of rotating equipment, compression systems, natural gas facilities, maintenance practices, and applicable safety and regulatory requirements.
• Understanding of compressor performance analysis, compressor sizing, and compression system optimization.
• Programming experience with Python preferred; experience with SQL, Power BI, VBA, or similar tools is a plus.

Responsibilities

• Serve as the Division focal point for asset management and reliability programs related to rotating equipment and compression systems.
• Lead and support Compression Performance, Equipment Reliability, Engine Health, and Preventive Maintenance programs, including development of standards, procedures, benchmarks, and best practices.
• Perform compressor performance testing, modeling, sizing, and optimization studies to improve reliability, capacity, efficiency, and operational performance.
• Monitor equipment and system performance data, establish KPI trends, develop predictive insights, and provide technical solutions to improve reliability.
• Lead and facilitate Root Cause Failure Analyses (RCFAs) and implement corrective actions to improve equipment reliability and failure predictability.
• Administer and develop the DataPARC historian and analytics platform, including database management, data validation, dashboard development, reporting, user support, and training.
• Develop data analytics, automated reporting, and engineering applications using Python or similar programming tools to support asset performance and predictive maintenance initiatives.
• Perform hydraulic modeling and analysis of gathering, transmission, compression, and process piping systems to identify constraints and optimize performance.
• Perform control valve sizing, equipment evaluations, flow assurance reviews, and debottlenecking studies in support of operations and capital projects.
• Analyze compressor and process data to identify operational, mechanical, and process limitations and recommend performance improvements.
• Oversee engine process control systems, engine mapping programs, and performance optimization tools for reciprocating engines and compressors.
• Provide technical expertise for troubleshooting complex equipment issues and evaluating new technologies related to reliability, condition monitoring, automation, and predictive analytics.
• Collaborate with Operations, Maintenance, Engineering, Automation, and System Planning groups to develop projects that meet company standards, regulatory requirements, and sound engineering practices.
• Support and mentor field personnel through training, troubleshooting, and development of consistent reliability and data management processes.

Skills

Rotating equipment

Compression systems

Data analytics

Problem solving

Project management

Education

Bachelor’s in Engineering (Mechanical or Chemical)

Tools

Python

SQL

Power BI

VBA

Job description

Energy Transfer seeks a reliability-focused engineer to improve the performance of rotating equipment and compression assets. The role blends reliability programs, data analytics, and process optimization to drive asset performance and operational excellence.

You will lead testing, modeling, and optimization to boost reliability, efficiency, and capacity while developing predictive insights and dashboards. Strong programming with Python and SQL helps support automation and reporting.