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Senior Performance Engineer

🕒 vor 12 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

Numpy

Pandas

Python

SQL

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von SunStrong Management, nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 12 Tagen

Noch offen auf der Website von SunStrong Management. Geprüft vor 3 Stunden.

Logo of SunStrong Management

SunStrong Management

51 - 200 Mitarbeiter

Gegründet 2024

⚡ Energie

🤝 B2B

🔥 Finanzierung im letzten Jahr

💰 €900.000.000 Debt financing im 2025-11

Energy • B2B

SunStrong Management ist ein Betriebs- und Vermögensverwaltungsunternehmen, das verteilte Solar- und Energieinfrastrukturen im Auftrag von Eigentümern, institutionellen Investoren und Privatkunden verwaltet. Das Unternehmen ist spezialisiert auf den operativen Außendienstbetrieb & Wartung (O&M), Rechnungsstellung und Inkasso sowie Investorenbetreuung und -berichterstattung. Oft übernimmt es die Verwaltung von Solarprojekten, die von den ursprünglichen Projektträgern aufgegeben wurden, um Systeme online zu halten und Kunden zu unterstützen. SunStrong verbindet nachhaltig orientierte Kapitalpartner mit realen Infrastruktur-Betrieben, um eine zuverlässige Leistung und stabile Renditen für Investoren zu liefern.

Beschreibung

• Model and monitor energy performance across residential, C&I, community solar, and utility-scale assets • Compare metered production against simulation using weather and irradiance data • Calculate and defend contractual performance metrics, including availability, performance ratio, production guarantees, and liquidated damages exposure • Produce recurring analysis supporting billing, PPA and lease invoicing, and investor and securitization reporting • Evaluate billing and settlement accuracy with asset management and O&M teams • Reconcile metered, monitored, and invoiced quantities and resolve discrepancies at the source • Investigate underperformance across inverters, meters, communications, energy storage, and site conditions • Drive corrective work to closure with O&M and field services • Direct fleet-performance data requirements, including tags, granularity, units, timestamps, and quality rules • Support data collection, ingestion, and reconciliation with the data platform team • Advise on Power BI dashboards and performance reporting by defining metric definitions, calculation logic, and acceptance criteria • Validate dashboard and reporting output rather than building reports directly • Define monitoring, revenue-grade metering, and telemetry requirements for new and retrofitted sites • Validate commissioning data before site acceptance into the fleet • Establish performance baselines and data mappings for newly acquired or transitioned portfolios • Support migration from legacy monitoring platforms • Validate storage-system performance against contracted operating modes, including dispatch behavior, state of health, cycling, and tariff-driven response • Apply AI tooling and agentic workflows to fleet diagnostics, anomaly triage, and recurring analysis • Define where model output requires engineering verification • Serve as technical reviewer for warranty, insurance, and equipment claims requiring quantified production loss • Mentor junior engineers and analysts on performance methods

🎯 Anforderungen

• Bachelor’s or Master’s degree in engineering, physics, or a related technical field • 8+ years in solar or storage performance engineering, asset performance management, or renewable O&M engineering, including 3+ years supporting commercial or utility-scale assets • Hands-on experience with PV performance modeling in PlantPredict (PVsyst or SAM acceptable as a secondary) • Experience with satellite irradiance and weather datasets including Solcast, SolarAnywhere, and Open-Meteo • Working experience with fleet monitoring and asset performance platforms including AlsoEnergy, Power Factors, and 3E, including data extraction, tag mapping, and alarm configuration • Proficiency in SQL and Python for engineering analysis, including pandas, numpy, and pvlib or equivalent • Practical fluency with AI tooling, coding assistants, LLM-based analysis, and agentic workflows applied to engineering work • Ability to judge where AI output must be verified • Ability to specify data requirements, validation rules, and reconciliation logic for engineering and BI teams • Ability to review dashboards and reporting for correctness • Working knowledge of monitoring, metering, and SCADA data acquisition, including Modbus, SunSpec, DNP3, REST, and vendor APIs • Familiarity with leased, PPA, and securitized portfolios, including production and availability guarantees, settlement mechanics, and investor reporting obligations • Battery energy storage experience covering BMS behavior, state-of-health analysis, and dispatch validation • Ability to work with incomplete legacy as-built and monitoring data and state assumptions and uncertainty explicitly

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