EQT Corporation
Midstream Engine & Compressor Analyst/Sr/Lead
Waynesburg, PA · Senior
Sponsorship not specifiedDetected 15 days ago
ResearchLeadershipCollaborationOrganizational Skills
About the role
- At EQT, you won't just do a job, you'll help shape our future.
- Through Transparent Leadership, you'll work alongside leaders who value collaboration and ensure every voice is heard.
- EQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.
Responsibilities
- Analyze data sets to identify anomalies, develop trends, and diagnose equipment performance issues.
- Gather data from multiple sources including maintenance history, oil analysis, vibration data, and other data sets to develop an evaluation of equipment condition.
Requirements
- Must be a team player, self-motivated with high level of energy and initiative.
Skills
- At least 2 years of related work experience in the natural gas industry with a mechanical background
- Good computer skills including Microsoft Products
- Must be detail oriented with strong organizational skills and research skills.
- Ability to work in a fast-paced environment.
- Ability to identify work priorities and function with very little supervision at times
- High School Diploma / GED
- Associate's degree in a technical field
- Maintenance experience with natural gas compression equipment
- Windrock analyzer experience
- Testo Emission Analyzer experience
- Basic knowledge of gas quality processing and conditioning
- Fluent in Caterpillar OEM software to navigate, adjust, calibrate and troubleshoot (Caterpillar ET)
Benefits
- Perform data collection, using specialized tools, to predict, diagnose, and assess mechanical equipment health.
- Perform engine emission exhaust sampling and/or emission testing as required for engine health assessments and/or site compliance requirements.
Apply directly at EQT Corporation →Create a free account for alerts like thisView EQT Corporation immigration profile
This listing is sourced directly from EQT Corporation's careers page and normalized into a canonical job model.