Electrical Condition Monitoring Analytics Engineer

WindESCo • Raleigh area, NC

16h • Hybrid

About The Position

Come be part of the dynamic company making developing cutting edge technology to enable better power plants including renewable energy. Aspire to have industry trend setting career, building next generation solutions and offerings, and thrive in a fast paced, exciting environment, then this opportunity with WindESCo is for you. WindESCo is a leader in optimizing renewable energy asset performance through advanced analytics and condition monitoring. Our Electrical Condition Monitoring System (eCMS) platform leverages state-of-the-art DAQ hardware, cloud analytics, and machine learning to identify electrical anomalies, reliability concerns and provides detailed insights about the health of the generators across wind turbine, hydro generators, gas engines and critical thermal power plant systems. The Electrical Condition Monitoring Systems Engineer will play a key role in interpreting, validating, and improving analytics derived from WindESCo’s eCMS DAQ systems deployed in the field. This position bridges advanced data analytics with practical engineering insight to identify generator anomalies, fine-tune algorithms, support continuous system improvements, and deliver actionable insights to customers.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or a related discipline.
• 5–7 years of experience in generator condition monitoring, electrical diagnostics, or rotating machine analysis.
• Proven experience analyzing data from wind turbines, hydro generators, gas engines, or thermal power plants.
• Strong understanding of signal processing, electrical fault detection, and generator protection principles.
• Proficiency in Python for data handling, scripting, and analytics validation.
• Experience with AWS-based data platforms, IoT pipelines, or cloud analytics environments.
• Hands-on familiarity with data acquisition hardware, sensors, and industrial communication protocols.
• Excellent technical writing and presentation skills for creating customer-facing reports.
• Strong collaboration and problem-solving skills across multidisciplinary teams.

Nice To Haves

• Experience with machine learning or AI-based diagnostics.
• Understanding of vibration analysis or other condition-based monitoring techniques.
• Knowledge of SCADA systems, edge data processing, or IIoT architectures.
• Prior involvement in product development or reliability improvement projects.

Responsibilities

• Review and interpret electrical condition monitoring data collected from the eCMS DAQ systems.
• Analyze generator data from wind turbines, hydro generators, gas engines, and thermal power plants to detect operational anomalies and emerging faults.
• Validate and refine analytics output, utilizing engineering judgment to confirm or dismiss anomaly detections.
• Collaborate with software and data analytics teams to fine-tune detection algorithms, signal processing routines, and configuration parameters to improve accuracy.
• Prepare concise technical reports summarizing findings, anomalies, and corrective recommendations for customers.
• Work closely with the hardware engineering team to improve DAQ module reliability, efficiency, and cost-effectiveness.
• Lead or contribute to continuous improvement initiatives enhancing system performance, hardware reliability, and analysis workflow.
• Participate in root cause analysis of field issues and feedback loop for product enhancements.
• Support deployment and commissioning of new eCMS field installations when required (up to 10% travel).

Benefits

• WindESCo provides competitive compensation plans.
• In addition, employees receive options to purchase company shares, excellent health and dental insurance, 401k, and unlimited paid time off.
• WindESCo has established a progressive workplace that is collaborative and team focused.
• If you believe you would be an excellent fit and would like to join the WindESCo team, please submit your application.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level