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 client’s discretion and will depend on the candidate’s 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 land—such as brownfields and landfills—into 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.
• Master's or Bachelor’s 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).