Solar Performance Engineer Blue Sky Utility/Nofar USA looking for a Solar Performance Engineer who wants real ownership — not just a seat monitoring dashboards someone else built. You'll take the lead on performance monitoring, analytics, and modeling across our fleet of utility-scale and distributed generation (DG) solar (and hybrid solar+storage) sites, and as the fleet grows, you'll have the runway to build the scalable processes, tools, and systems that let our team stay ahead of it rather than react to it. This is a strong fit for someone who has already spent a couple of years in the trenches of solar performance or O&M analytics and is ready for more autonomy: someone who's built a process, a tool, or a reporting pipeline before and wants a platform to do that at greater scale, with more responsibility, and with a direct line of sight to how their work affects portfolio-level decisions. You'll work daily with SCADA/historian data, inverter and tracker telemetry, meteorological data, and contractual performance guarantees — and you'll have real latitude in how those problems get solved. Performance Monitoring • Monitor daily/weekly performance of a portfolio of utility-scale and DG-scale PV sites against expected (weather-adjusted) production • Identify underperformance at the site, inverter, combiner/recombiner, and string/tracker level using SCADA and DAS platforms (e.g., AlsoEnergy PowerTrack or similar) • Track and triage inverter faults, tracker stow/follow anomalies, and communication outages; escalate to O&M vendors with supporting data • Maintain dashboards (e.g., in Metabase, Power BI, or similar) that give a real-time picture of fleet health • Design and build out alarming and monitoring tools (threshold-based alerts, exception reports, automated notifications) that give O&M teams faster visibility into faults, underperformance, and communication issues in the field — with an eye toward processes that scale as the fleet grows Performance Analytics • Build and maintain loss-waterfall analyses that decompose the gap between actual and expected production into categories (availability, curtailment, soiling, clipping, degradation, wiring/DC losses, etc.) • Calculate contractual availability and performance ratio (PR) metrics per O&M and PPA agreements • Query and manipulate large time-series datasets (SQL/PostgreSQL) to support root-cause investigations • Automate recurring reporting using Python (pandas, etc.), building repeatable processes rather than one-off spreadsheets, so analytics keep pace as the portfolio grows • Use AI tools (e.g., Claude, ChatGPT, Copilot) to accelerate data cleaning, script writing, and report generation, applying sound judgment to validate AI-assisted outputs before they inform decisions Performance Modeling • Build and maintain expected-generation models (e.g., PVsyst, SAM, PlantPredict, or in-house models) for new and existing sites, spanning both utility-scale and DG-scale projects • Update models to reflect as-built conditions, equipment changes, degradation curves, and shading/soiling assumptions • Support P50/P90 production forecasting and budget-vs-actual variance analysis • Validate model assumptions against real operating data and refine over time Cross-Functional Support • Partner with O&M vendors on performance guarantee true-ups and dispute resolution • Support procurement/engineering teams with data on equipment reliability (inverters, trackers, meters) • Support technical due diligence for site acquisitions and portfolio growth — reviewing historical performance data, production estimates, and equipment condition to inform investment decisions • Present findings to internal stakeholders and, occasionally, asset owners/investors
