Performance Engineer

About You

We are seeking an experienced, data-driven Performance Engineer to selectively analyze and manage the performance of our growing portfolio of over 600 solar and BESS assets across the United States. You will report directly to the Senior Manager of Analytics & Asset Management, working alongside a small team of monitoring analysts that serve as the operational intelligence layer for the entire organization.

Approximately 70% of your time will be spent identifying underperformance by interpreting production and weather data, trend analysis, quantifying energy losses, and coordinating with Regional Asset Managers (RAMs) to drive resolution. The remaining 30% focuses on admin work like the digital onboarding of new sites into our analytics ecosystem—ingesting pro-formas and PVSyst models, validating AlsoEnergy Advanced Site Configurations, and assessing as-built drawings to ensure every site is set up correctly from day one. You will work daily inside our Power BI dashboards, internal monitoring systems, Snowflake data tables, and DAS platforms (AlsoEnergy, SolarEdge, SCADA) to surface insights that protect revenue and improve fleet health.

This is a role for someone who can look at a site producing at 85% Performance Ratio and immediately start asking the right questions: Why is a site underperforming if all inverters are operational? A soiling issue? A weather anomaly? A data gap? If you thrive on pattern recognition, root-cause investigation, and translating data into action—this is your role.

About Us

We’re one of the fastest-growing solar asset owners in the country. We manage hundreds of commercial and industrial solar sites across the U.S. We believe that the people in the field, in the weeds, and in the office deserve just as much respect as the folks in the boardroom. We’re serious about performance, safety, and world-class operations of our solar and battery fleet.

Key Responsibilities

Performance Analysis & Underperformance Detection (50%)

Analyze weekly, and monthly production data across ~600+ solar and BESS sites using Power BI dashboards and monitoring systems. You will not be monitoring every site, you will be looking for trends that our monitoring analysts didn’t catch.

Evaluate key performance metrics including Performance Ratio (PR), Weather-Adjusted PR, insolation gap, availability, capacity factor, and forecast-vs-actual variance to assess site health.

Investigate root causes of underperformance—distinguishing between equipment failures, inverter outages, soiling/snow loss, weather anomalies, curtailment, and data quality issues.

Flag confirmed underperformance to the appropriate Regional Asset Manager with clear, concise summaries of the issue, affected capacity, estimated performance loss, and recommended next steps.

Monitor sub-inverter-level performance across the fleet to detect issues, string-level degradation, and equipment-specific trends that site-level metrics may obscure.

Track and follow up on open issues to ensure timely resolution

Contribute to monthly production reporting, including data validation, cleaning flags, and variance commentary.

Reporting & Data Insights (20%)

Support weekly and monthly reporting workflows.

Prepare variance analyses comparing actual production against P50/P75 forecasts (Models) and flag sites trending below expectations.

Analyze weather data (POA irradiance, GHI, Solcast actuals) alongside production to separate weather-driven shortfalls from controllable losses.

Document recurring underperformance patterns and contribute to the team’s institutional knowledge base for fleet-wide trend analysis.

Administration & Data Organization (30%)

Digitally onboard new sites into the analytics ecosystem as they reach operations, ensuring all performance baselines are established.

Ingest and validate pro-forma and PVSyst energy models, mapping expected production, degradation assumptions, and design parameters into the ecosystem

Validate AlsoEnergy Advanced Site Configuration (ASC) files against as-built drawings and equipment schedules—confirming inverter counts, string configurations, meter assignments, and sensor mappings are accurate.