- Professional
- Office in Louisville
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AES Clean Energy is seeking an Associate Performance Engineer to support engineering, construction and operations teams by analyzing the performance characteristics of photovoltaic and battery storage projects in construction, commissioning and operation.
The Associate Performance Engineer will have knowledge of data analysis, especially in “beyond Excel” systems like EtaPRO, Python or R. In addition, they will be interested in learning technical platforms like Domino Datalab, Google Cloud Storage, and Google BigQuery or Power BI.
The Associate Performance Engineer will be an enthusiastic learner who is willing to dive into solving open-ended analysis problems by creating new approaches.
The Associate Performance Engineer will support bridging the gap between projects in construction, and projects in long-term operation by analyzing production data, identifying commissioning problems such as failed sensors or incorrect SCADA calculations, Dashboard and KPI implementation and running standard performance tests such as ASTM E2848, battery capacity testing and assisting the operations team in troubleshooting.
The position is in Louisville, CO, and may include up to 10% travel to project locations and partner offices.
Key Responsibilities
Project Execution and Operation
- Test newly commissioned SCADA systems for completeness and accuracy
- Perform “big data” analysis to identify major sources of site underperformance
- Build Dashboards to track key KPI metrics
- Perform or review capacity and performance tests for projects in construction (PV, BESS & PV + BESS, E2848)
- Analyze error codes of inverters, controllers, BMS, trackers and HVAC units
- Work closely with project engineers to manage project timelines
Skills and Qualifications
Primary Qualifications
- Undergraduate degree in Engineering or equivalent technical field
- 1+ years professional experience in performance engineering and testing of complex generation systems, preferably PV + BESS
- Experience with “beyond Excel” data analysis systems such as scientific python, SAS, R, Julia, Domino Datalab or comparable solutions for analysis of complex datasets
- Experience developing test plans or experimental plans
“Plus” Qualifications
- Proficiency with SCADA systems (Isotrol Bluence/EtaPRO/OSI PI), network design and advanced analysis tools Six Sigma Certification
- +3 years of experience with PV and Battery Energy Storage System design and interconnection
- Spanish language skills
- Ability to work in different time zones, particularly HI, for 25% of the time
- Experience with development of ML/AI algorithms for underperformance detection