Senior Performance Engineer 21006

Role: Senior 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 VP Asset Management. As a senior performance engineer in the renewable industry you will be responsible for analyzing and interpreting operational data related to power plant performance modeling and prediction. Your work will help inform strategic decision-making and improve operational efficiency across the portfolio. You will collaborate closely with engineers O&M teams project managers software team and business stakeholders to identify opportunities for data-driven insights and solutions.

Key Responsibilities:

• Collect clean and analyze large data sets (including SCADA/DAS telemetry) related to power plant performance modeling and prediction.
• Develop predictive models and algorithms to forecast power plant performance and troubleshoot underperforming PV systems identify potential component failures and modeling issues and recommend corrective actions to meet guaranteed capacity and energy production targets.
• Demonstrate proficiency with photovoltaic performance modeling tools such as PVsyst pvlib-python NREL SAM and other PV software and models.
• Demonstrate proficiency in calculating different types of plant and equipment loss such as but not limited to soiling tracker temperature derating clipping inverter efficiency and DC/AC wiring losses.
• Demonstrate proficiency in calculating KPIs such as availability (e.g. plant inverter and tracker) performance ratio (PR) and energy performance index (EPI) by using algorithms.
• Assist data scientists and software team in the development of programming code to automate internal and external reporting requirements and analysis.
• Collaborate with cross-functional teams to develop and implement data-driven solutions that improve operational efficiency and reduce costs.
• Work with stakeholders to identify their requirements for data analysis model development and performance optimization and work with the team to deliver solutions that meet those requirements.
• Communicate findings and recommendations to technical and non-technical stakeholders in a clear and concise manner.

Qualifications & Skills:

• Has 5 years of combined expertise across performance engineering data analytics and resource modeling (PVSyst) complemented by 2 years in project management.
• Masters degree in a relevant field such as computer science data science math physics and/or engineering such as electrical
• Strong understanding of photovoltaic system modeling and simulation preferably with experience using pvlib and PVsyst.
• Experience with Python R and/or other programming skills.
• 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.
• Experience in the use of business intelligence tools and other analytical tools (e.g. PowerBI Tableau Plotly Pandas NumPy Matplotlib)
• Proven track record of SCADA analysis of discrete event time series data and plant performance assessment preferred.
• Proficiency with database query languages such as SQL.
• Strong quantitative analytic skills with advanced MS Excel modeling skills (inc. VBA and/or macros).
• Experience with operation design and/or analysis of AC and DC electric power systems.
• Data mining experience.
• Strong critical thinking skills and ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.

Preferred/Nice to Have:

• Experience working in the power industry specifically in performance analysis and modeling in the PV solar industry.
• Experience in conducting performance evaluation of PV plant performance testing by using standards such as ASTM and IEC.
• Knowledge of SCADA and DAS (e.g. AlsoEnergy GPM Powerfactors Ignition Wattch Denowatts SynaptiQ PI System etc.).
• Demonstrated track record of designing and deploying AI-driven workflows to enhance predictive modeling automate repetitive processes and drive operational efficiencies Experience working in a cloud environment (e.g. AWS Azure).
• Knowledge of machine learning algorithms and statistical methods.
• Experience using AI and demonstrated experience building workflows and processes.
• Database management skills preferred.
• Familiarity with CMMS systems preferred (e.g. Fiix Maximo Sitetracker Softwrench).
• PMP or other project management certification.