Reliability Engineer – CNG/LNG Fueling Operations

Clean Energy; Denver (CO); On-site; USD 85,000 - 100,000; Full time

Job summary

Clean Energy, the leading RNG and alternative fueling solutions provider in North America, is seeking a Reliability Engineer in Denver, CO. The role focuses on improving asset reliability, data integrity, and maintenance effectiveness across CNG and LNG/LCNG fueling stations.

You will develop asset hierarchies, organize technical documentation, and enable site-specific SOPs while collaborating with technicians, supervisors, and engineering teams to ensure accurate asset data and optimized

Qualifications

• Degree in Mechanical, Electrical or Industrial Engineering/Engineering Technology.
• Proficiency in Excel and MS Office.
• Ability to read P&IDs and electrical schematics.
• Familiarity with gas compression systems and RNG fueling ops.

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.

Skills

MS Office (Excel)

P&IDs interpretation

Electrical schematics

OEM manuals reading

Gas compression systems

CNG/LNG fueling ops

Data accuracy & documentation

Education

Mechanical/Electrical/Industrial Eng or Tech

Tools

D365

Job description

Clean Energy, the leading RNG and alternative fueling solutions provider in North America, is seeking a Reliability Engineer in Denver, CO. The role focuses on improving asset reliability, data integrity, and maintenance effectiveness across CNG and LNG/LCNG fueling stations.

You will develop asset hierarchies, organize technical documentation, and enable site-specific SOPs while collaborating with technicians, supervisors, and engineering teams to ensure accurate asset data and optimized