Job Description SummaryThe Electrical Monitoring Engineer is an entry-level role focused on the analysis and diagnostic assessment of electrical components and systems across our onshore wind turbine fleet. This role is ideal for a recent or upcoming graduate with a foundation in electrical engineering who is also comfortable working with data and code - whether through coursework, projects, internships, clubs, or personal exploration. You'll learn to interpret electrical system data, detect abnormal performance, and support the broader monitoring strategy that keeps our fleet running reliably, all while building deep technical expertise in electrical systems and developing your data analysis and programming skills on the job.
This role is rooted in the electrical engineering domain - you'll be diagnosing real electrical faults, component degradation, and performance issues on wind turbines - but you'll also be expected to build and interact with the tools, scripts, and analytics that make that diagnostic work possible.
Job DescriptionRoles and 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.
Required Qualifications
- Bachelor's degree in Electrical Engineering or a related technical field (completed or in progress, with anticipated graduation date).
- Strong foundational knowledge of electrical systems and engineering principles.
- Strong analytical and problem-solving skills, with the ability to interpret technical data.
- Strong written and verbal communication skills.
- Willingness and ability to work on-site in Greenville, SC.
Desired Characteristics
- Exposure to programming or data analysis, gained through coursework, internships, co-ops, personal projects, clubs, competitions, or a minor/secondary area of study (e.g., Computer Science, Data Science, or similar). Formal coursework or a degree in these areas is not required - we're looking for demonstrated curiosity and hands-on experience working with code or data in some capacity.
- Comfort with, or eagerness to learn, programming and scripting languages such as Python, SQL, or MATLAB.
- Interest in and comfort with using Al-assisted tools to support coding, data analysis, and technical problem-solving.
- Prior internship, co-op, or project experience in the wind, power generation, or renewable energy industry.
- Experience working with real-world datasets, including cleaning, analyzing, or visualizing data.
- Familiarity with SCADA systems, sensor data, or industrial/operational data environments.
- Demonstrated ability to work collaboratively in team environments, including group projects, capstones, or extracurricular technical clubs.
- Genuine interest in renewable energy and a career combining electrical engineering with data-driven problem solving.
For candidates applying to a U.S. based position, the pay range for this position is between $72,000.00 and $108,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on September 11, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
