Electrical Monitoring Engineer - Fleet Performance Management Team

GE Vernova

Greenville, United States

Full Time

Posted September 11, 2026

$48k - $67k· Est.

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 1, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Estimated benchmark; not employer-provided

Job Description

GE Vernova is a leading global energy company dedicated to electrifying the world while decarbonizing it.

Key Responsibilities

Analyze operational data, SCADA signals, alarms, and events - under guidance from senior engineers - to identify abnormal electrical performance, component degradation, and system anomalies across the fleet.
Support diagnostic assessment of electrical faults, power quality issues, and intermittent failures to assist troubleshooting and root cause investigations.
Learn to distinguish actionable electrical signals from noise or expected operational variation, and interpret field performance data and service records to assess component health.
Support fleet diagnostics and maintenance prioritization through electrical performance analysis.
Contribute to the development and continuous improvement of electrical monitoring strategies, condition indicators, and detection logic across the installed fleet.
Collaborate with Controls Engineering, Electrical Engineering, Systems Engineering, Services, Fleet Reliability, and Root Cause Analysis teams to support issue resolution and inform engineering improvements.
Work with SCADA data, event logs, alarms, and service records, and build/improve scripts, queries, and dashboards to support electrical monitoring - growing your programming and data analysis skills on the job.
Apply established standards for diagnostic quality and documentation, and clearly communicate technical findings to team members and stakeholders.
Build comfort using Al-assisted tools to accelerate coding, data analysis, and problem-solving, and stay open to learning new programming languages and tools as needed.
Develop foundational expertise in electrical component behavior, failure modes, and diagnostic techniques, while identifying opportunities to improve monitoring coverage and detection logic.