Solar Performance Engineer

Blue Sky Utility - Powered by Nofar Energy

. Monitor daily and weekly performance of utility-scale and DG-scale PV sites against weather-adjusted expected production .

Posted 10/2/2026full-timeFort Lauderdale • Florida • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solar performance engineering and asset management, with strong capabilities in data analysis, modeling, and reporting. Proficient in using tools like SQL, Python, and performance modeling software to optimize utility-scale PV site performance.

Highest-signal resume keywords

Solar Performance EngineeringSQL QueryingPython AutomationPVsyst Performance ModelingSCADA/DAS Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPerformance Metrics CalculationElectrical Single-Line Diagram ReadingTime-Series Data ManipulationLoss-Waterfall AnalysisAutomated ReportingModel ValidationInverter Fault AnalysisPerformance ForecastingQuantitative Aptitude

Soft Skills

Excellent CommunicationProblem-SolvingSelf-DirectedNarrative Development

Tools & Technologies

MetabasePower BIPVsystSAMPlantPredictAlsoEnergy PowerTrackPythonPandasMatplotlibAI Tools

Industry Keywords

Renewable EnergyO&MPerformance GuaranteesAvailability GuaranteesLiquidated DamagesBESS PerformanceUtility-Scale PVDG-Scale PVContractual AgreementsData Cleaning

Tech Stack

Tools & technologies

PandasPostgresPythonSQLTableau

About the role

Key responsibilities & impact

Monitor daily and weekly performance of utility-scale and DG-scale PV sites against weather-adjusted expected production
Identify underperformance at site, inverter, combiner/recombiner, string, and tracker levels using SCADA and DAS platforms
Track and triage inverter faults, tracker stow/follow anomalies, and communication outages
Escalate issues to O&M vendors with supporting data
Maintain real-time fleet-health dashboards in Metabase, Power BI, or similar tools
Design and build scalable alarming and monitoring tools, exception reports, and automated notifications
Build and maintain loss-waterfall analyses covering availability, curtailment, soiling, clipping, degradation, and wiring/DC losses
Calculate contractual availability and performance-ratio metrics under O&M and PPA agreements
Query and manipulate large time-series datasets using SQL/PostgreSQL
Automate recurring reporting with Python and pandas
Use AI tools to accelerate data cleaning, script writing, and report generation while validating outputs
Build and maintain expected-generation models using PVsyst, SAM, PlantPredict, or in-house models
Update models for as-built conditions, equipment changes, degradation curves, and shading/soiling assumptions
Support P50/P90 production forecasting and budget-versus-actual variance analysis
Validate model assumptions against operating data and refine models over time
Partner with O&M vendors on performance-guarantee true-ups and dispute resolution
Support procurement and engineering teams with equipment-reliability data
Support technical due diligence for acquisitions and portfolio growth
Present findings to internal stakeholders and occasionally asset owners and investors

Requirements

What you’ll need

2–3 years of experience in solar performance engineering, asset management, O&M, or a closely related analytical role in renewable energy
Bachelor's degree in Electrical Engineering, Mechanical Engineering, Renewable Energy, or a related technical field, or equivalent practical experience
Working knowledge of PV system fundamentals, including inverter operation, string/central architecture, tracker systems, revenue metering, irradiance, temperature, and soiling
Hands-on experience with AlsoEnergy PowerTrack or a comparable SCADA/DAS/historian platform
Familiarity with the PowerTrack API for automated reporting and data-pull processes
Proficiency in SQL for querying large datasets
Comfort with Python, pandas, and matplotlib/plotting libraries for analysis and automation
Familiarity with PVsyst, SAM, PlantPredict, or similar performance modeling tools, or strong quantitative aptitude and willingness to learn
Ability to read electrical single-line diagrams and site layout/LBD drawings
Excellent written and verbal communication
Ability to turn messy data into a clear narrative for non-technical stakeholders
Self-directed and comfortable owning ambiguous problems
Comfortable using AI tools, LLMs, and coding assistants, with the judgment to verify AI-generated output
Experience with Modbus register-level troubleshooting or inverter fault code analysis (nice to have)
Exposure to BESS performance and dispatch data (nice to have)
Experience with Metabase, Power BI, or Tableau (nice to have)
Familiarity with O&M contract structures, availability guarantees, and liquidated damages calculations (nice to have)

Benefits

Comp & perks

Medical, dental, and vision insurance
Short-term disability insurance
Life insurance
401(k) with a generous 6% company match
Hybrid work model with flexibility outside the office
In-person collaboration opportunities
Direct access to decision-makers
Opportunity to influence how the business is built and grown
Exposure, responsibility, and influence in a fast-paced environment