Solar Asset Performance Engineer I, Operations Engineering
Posted Sep 24, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time you used data to solve an equipment problem.
What they are checking: Whether they can turn data analysis into a real fix, not just a report.
How do you work with equipment manufacturers to resolve technical issues?
What they are checking: Whether they can push for answers under warranty while keeping the relationship productive.
Describe a time you worked with an EHS team or field crew. How did you keep safety in mind?
What they are checking: Whether they respect safety when planning work, even as an office-based engineer.
What would you do
Field technicians report repeated tracker failures at one site. How do you approach it?
What they are checking: Whether they can lead a structured investigation with the field team and the manufacturer.
The Generation Control Center calls about an inverter trip at night. What information do you need?
What they are checking: Whether they know what data helps triage a problem quickly and safely.
How do you decide which performance issue to fix first when there are many across the fleet?
What they are checking: Whether they prioritize by lost energy and cost, which maximizes production across the fleet.
About the work
Walk me through how you would use SCADA data to find underperforming inverters at a utility-scale solar site.
What they are checking: Whether they can analyze performance data and separate equipment problems from weather or curtailment.
What are the most common causes of lost energy at a solar plant?
What they are checking: Whether they understand soiling, tracker faults, inverter outages and other real loss drivers.
How would you calculate the performance ratio of a solar site, and what can make it misleading?
What they are checking: Whether they understand performance metrics and their limits, which prevents wrong conclusions.
What tools, such as Python, SQL or Excel, have you used to analyze large amounts of operational data?
What they are checking: Whether they can handle fleet-scale data efficiently, which this role depends on.
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Practice this out loudThe full job description
As published by Invenergy.