BESS Performance Engineer|Data Analytics for Energy Assets

Wizeline

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Wizeline seeks a BESS Performance Engineer to join the Asset Management team across the United States. You will lead performance monitoring, analysis, and reporting for standalone BESS and solar-plus-storage assets, including AC- and DC-coupled configurations.

The ideal candidate combines battery performance modeling, renewable energy systems, and data analytics, collaborating with Data Science, Asset Management, Engineering, and Operations teams to derive data-driven insights and automate

Qualifications

  • Bachelor's or Master's degree in a technical field as listed.
  • 3–5 years of experience in performance engineering.

Responsibilities

  • Lead performance monitoring, analysis, and reporting for standalone BESS and PV+BESS assets across a distributed generation portfolio.
  • Develop and monitor KPIs including RTE, SOH, SOC, auxiliary power consumption and system availability.
  • Create degradation models and predictive analytics to forecast battery life and optimize charging/discharging cycles.
  • Extract, clean, and analyze large-scale SCADA, DAS, telemetry data to identify underperforming assets and propose fixes.
  • Collaborate with Data Science to integrate telemetry into enterprise platforms and automate reporting pipelines.
  • Evaluate solar-plus-storage performance impacts when transitioning to AC- and DC-coupled configurations.

Skills

Performance engineering
Data analytics
SCADA data analysis
Battery energy storage

Education

Bachelor's or Master's in Electrical Engineering, Computer Science, Data Science, Mathematics, Physics

Job description

Wizeline seeks a BESS Performance Engineer to join the Asset Management team across the United States. You will lead performance monitoring, analysis, and reporting for standalone BESS and solar-plus-storage assets, including AC- and DC-coupled configurations.

The ideal candidate combines battery performance modeling, renewable energy systems, and data analytics, collaborating with Data Science, Asset Management, Engineering, and Operations teams to derive data-driven insights and automate

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