BESS Performance Engineer 21004

Role: BESS Performance Engineer
Priority Location: Latin America India Pakistan
Working Hours: Monday-Friday 8:00am- 5:00pm EST
Target Start Date: ASAP (Urgent Hiring)

The final offer is at the clients discretion and will depend on the candidates interview result skills and experience.

About the Company:

A certified B-Corp that develops owns and operates community-scale solar and energy storage projects specializing in transforming underutilized landsuch as brownfields and landfillsinto clean energy assets. By combining renewable power generation with sustainable dual-use land solutions like pollinator-friendly ground cover and solar grazing the company focuses on revitalizing local communities while advancing environmental restoration.

About the Role:

This position will work within the Asset Management team which is responsible for the management of a growing portfolio of distributed generation projects located across the United States. This position reports to the VP Engineering. As a BESS Performance Engineer you will be responsible for leading the performance analysis monitoring and reporting for our standalone Battery Energy Storage Systems (BESS) and our transition into AC and DC-coupled BESS PV assets. You will partner closely with our Data Scientist and Asset Management teams to build BESS-specific KPIs ensure our energy storage assets are operating at peak technical and commercial efficiency and collaborate closely with engineers O&M teams project managers and business stakeholders to identify opportunities for data-driven insights and solutions.

Key Responsibilities:

• Lead the monitoring performance analysis and operational reporting for a portfolio of DG standalone BESS and paired PV BESS assets.
• Develop calculate and track critical BESS KPIs including Round-Trip Efficiency (RTE) State of Health (SOH) auxiliary power consumption availability and State of Charge (SOC) management.
• Conduct complex degradation modeling and build predictive analytics to forecast battery life track SOH trajectories against capacity guarantees and optimize charging/discharging cycles.
• Extract clean and analyze large-scale SCADA and telemetry datasets related to BESS and PV power plant performance to troubleshoot underperforming systems and identify component failures.
• Collaborate directly with the Data Scientist to integrate BESS telemetry with enterprise platforms warehouse data efficiently and automate internal and external reporting pipelines.
• Work with cross-functional teams to model the performance impacts of transitioning from standalone BESS to AC and DC-coupled BESS PV configurations.
• Present operational and financial findings alongside recommended corrective actions or dispatch strategies to technical and non-technical stakeholders to enable clarity and business impact.

Qualifications & Skills:

• 3-5 years of experience in performance engineering battery modeling or data analytics specifically tailored to energy storage.
• Masters or Bachelors degree in a relevant field such as electrical engineering computer science data science math or physics
• Strong understanding of battery energy storage architecture degradation mechanisms and performance modeling.
• Experience with the operation design and/or analysis of AC and DC electric power systems.
• Strong proficiency in Python R or SQL for data analysis time-series data manipulation and modeling.
• Proficiency in leveraging Generative AI tools (e.g. Claude Code) and Large Language Models (LLMs) to accelerate code development automate data processing workflows and streamline complex analytics.
• Hands-on experience with business intelligence and analytical tools (e.g. Power BI Tableau Pandas NumPy Matplotlib).
• Proven track record of working with SCADA DAS and discrete event data for plant performance assessments.
• Strong critical thinking skills and the ability to work independently and as part of a team.

Preferred/Nice to Have:

• Direct experience working in the renewable power industry specifically evaluating the performance of DG or utility-scale BESS and PV assets.
• Experience performing financial analysis related to wholesale energy markets ISO/RTO dispatch strategies and Locational Marginal Pricing (LMP) rate optimization to inform and improve BESS market dispatch decisions.
• Experience analyzing both standalone storage and coupled (AC/DC) solar-plus-storage projects.
• Knowledge of SCADA and DAS (e.g. AlsoEnergy GPM Powerfactors Ignition Wattch Denowatts SynaptiQ PI System etc.)
• Practical experience working in cloud platforms (e.g. AWS Azure) and developing data infrastructure.
• Demonstrated track record of designing and deploying AI-driven workflows to enhance predictive modeling automate repetitive processes and drive operational efficiencies.
• Knowledge of machine learning algorithms and statistical methods for predictive analytics.
• Familiarity with CMMS systems (e.g. Fiix Maximo Sitetracker).

Required Experience:

IC