Reliability Engineer - RNG Fueling Stations

Clean Energy; Denver (CO); Hybrid; USD 85,000 - 95,000; Full time

Job summary

Clean Energy in Denver, CO is seeking a Reliability Engineer to improve asset reliability, data integrity, and maintenance effectiveness across CNG and LNG fueling stations. You will work with field teams to organize technical documentation and develop SOPs.

This role requires a mechanical/electrical/industrial engineering background, strong Excel skills, and ability to read P&IDs. Occasional travel up to 25% is expected; office/field hybrid environment.

Qualifications

• Degree in Mechanical, Electrical or Industrial Engineering/Engineering Technology.
• Strong Excel skills.
• Ability to read P&IDs and OEM manuals.
• Understanding of multi-stage gas compression systems and CNG/LNG fueling operations.

Responsibilities

• Develop and maintain engineering asset hierarchies for station equipment.
• Ensure accuracy of asset data including configuration, BoM, and functional locations.
• Collect, review, and upload site-specific documentation including as-builts and OEM manuals.
• Support SOP development by extracting technical data from manuals and drawings.
• Read and interpret P&IDs, electrical schematics, and OEM documentation.
• Collaborate with field technicians and supervisors to validate asset data and gather missing information.
• Build and refine asset hierarchies; organize documentation in Reliability Engineering systems.

Skills

Strong communication

Detail-oriented

Proactive

P&ID interpretation

Gas compression systems understanding

CNG/LNG fueling operations

Education

Bachelor's degree in Mechanical, Electrical or Industrial Engineering/Engineering Technology

Tools

Excel

D365 asset management

Job description

Clean Energy in Denver, CO is seeking a Reliability Engineer to improve asset reliability, data integrity, and maintenance effectiveness across CNG and LNG fueling stations. You will work with field teams to organize technical documentation and develop SOPs.

This role requires a mechanical/electrical/industrial engineering background, strong Excel skills, and ability to read P&IDs. Occasional travel up to 25% is expected; office/field hybrid environment.