Job Description Summary

Job Description

Role Scope

The engineer in this role will develop and execute operability monitoring methods and diagnostic assessments for high-impact operability issues, including abnormal operating envelopes, curtailment interactions, nuisance operational constraints, and performance-limiting fleet behavior patterns. The engineer in this role will work closely with more senior members on the team and cross-functional partners in Services, Systems Engineering, Electrical Engineering, Controls Engineering, Fleet Reliability, Root Cause Analysis, and Fleet Performance teams.

Roles and Responsibilities

• Execute proactive monitoring of turbine operability using SCADA trends, events, alarms, wind/operating context, and fleet performance data.
• Develop and improve operability indicators, thresholds, and detection logic for assigned performance and availability risk modes.
• Perform deep diagnostic assessments for abnormal operating patterns, intermittent behavior, and system interactions that limit productivity or reliability.
• Distinguish actionable operability risk from expected operational variation and non-critical anomalies.
• Translate diagnostic findings into practical recommendations, including troubleshooting direction and performance improvement priorities.
• Partner with more senior members on the team to align diagnostic priorities, escalation decisions, and action recommendations.
• Support standardization of operability monitoring documentation, issue classification, and technical communication quality.
• Build technical depth in operability monitoring by applying feedback, sharing lessons learned, and supporting continuous improvement of team methods.

Required Qualifications

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Systems Engineering, or related discipline.
• Demonstrated experience in wind turbine performance, operations engineering, reliability, or fleet diagnostics.
• Strong understanding of wind turbine operating behavior, performance drivers, and system interactions.
• Demonstrated experience diagnosing fleet performance and operability issues from time-series and event data.
• Strong data literacy with hands-on use of SCADA trends, event logs, and performance data in technical decision-making.
• Strong analytical and communication skills, with ability to influence cross-functional action.
  

Desired Characteristics

• Experience in fleet performance engineering, availability improvement, or condition monitoring functions.
• Experience combining controls, electrical, and operational context in system-level diagnostics.
• Hands-on analytics capability with Python, SQL, or equivalent tools.
• Familiarity with reliability and root cause processes in wind operations.
• Experience building fleet dashboards, triage workflows, and issue prioritization frameworks.

Additional Information