EtaPRO LLC · 3 hours ago
Monitoring & Diagnostics Engineer
EtaPRO LLC is an industry leader in condition and performance monitoring for the power industry. The Monitoring & Diagnostics Engineer will analyze operational data and alarms to identify trends in power plant performance, collaborate with teams and customers, and provide technical recommendations while supporting project rollouts and training initiatives.
Responsibilities
Provide accurate, timely technical recommendations to customers to meet operational and business goals
Troubleshoot urgent plant technical issues remotely using engineering expertise
Review and analyze operational data in both tabular and graphical formats
Communicate effectively with customers to ensure operational concerns are understood and addressed
Collaborate with senior engineers to develop innovative solutions for customer needs
Perform pre- and post-outage evaluations and advanced diagnostics on plant equipment
Lead fleet-wide deployments of remote monitoring technologies
Develop advanced reporting and data evaluation techniques to optimize monitoring
Serve as an instructor for EtaPRO technology, creating training materials and mentoring junior staff
Support sales and marketing with technical expertise and case studies
Qualification
Required
Bachelor's degree in Engineering, Physics, Computer Science, or related field
1+ years of relevant experience in power plant monitoring or operations
Strong understanding of equipment condition monitoring and performance testing
Ability to learn quickly, solve problems, and work in a team environment
Excellent written and verbal communication skills
Proficiency in MS Word, Excel, and PowerPoint
Experience with thermal performance modeling and condition monitoring software
Must pass pre-employment drug screen, background check, and motor vehicle records check
Preferred
Working knowledge of vibration analysis for rotating equipment
Hands-on experience with EtaPRO
Company
EtaPRO LLC
EtaPRO® is a real-time monitoring platform for keeping equipment and facilities running efficiently and reliably through anomaly detection, real-time KPI’s, and early warning of equipment failure.