Senior Performance Engineer

Wizeline·Argentina based RemoteRemotesenior

In short

→Ingeniero de rendimiento senior para plantas solares PV en EE.UU., analizando datos SCADA y optimizando producción con modelos predictivos.
→Día a día: análisis de métricas de eficiencia, identificación de pérdidas energéticas y colaboración con equipos técnicos y de datos.
→Destacado: Se valora fuertemente el uso de herramientas de IA para automatizar procesos y mejorar el rendimiento.

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The questions they'll ask you

1. ¿Cómo usarías Python para identificar pérdidas de energía en un sistema PV a partir de datos SCADA?

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💵 USD · Remote · No visa

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What they ask for

✓5+ años en ingeniería de rendimiento PV o gestión de activos solares.
✓Experiencia comprobada con PVsyst y modelado de sistemas fotovoltaicos.
✓Dominio de Python y SQL para análisis de datos en series de tiempo.
✓Conocimiento profundo de KPIs solares: PR, disponibilidad, pérdidas energéticas.
✓Experiencia analizando datos SCADA de plantas solares.
✓Capacidad para usar Power BI o Tableau en dashboards de rendimiento.

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PVsystPythonSQLPower BITableauSCADApvlibNREL SAMAWSAzure

Who should you write to at Wizeline?

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We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve About the role: We're seeking a Senior PV Performance Engineer to support a growing portfolio of utility-scale and distributed solar assets across the United States. This role combines solar performance engineering, advanced analytics, and data-driven decision making to optimize plant performance, identify energy losses, and improve operational efficiency across the portfolio. Key Responsibilities • Analyze operational and SCADA data from solar PV plants. • Evaluate plant performance against expected energy production. • Develop performance models and predictive analytics solutions. • Identify energy losses, equipment issues, and underperformance drivers. • Calculate key performance metrics including PR, availability, and energy performance indicators. • Collaborate with Asset Management, O&M, Data Science, and Software teams. • Support automation of reporting and analytics using modern programming tools and AI-enabled workflows. Must-have Skills • 5+ years of experience in solar PV performance engineering, asset management, or performance analytics. • Strong experience with PVsyst and photovoltaic performance modeling. • Experience analyzing SCADA and time-series operational data. • Strong Python and SQL skills. • Knowledge of solar plant KPIs, energy losses, and performance testing. • Experience with Power BI, Tableau, or similar analytics platforms. • Strong understanding of PV systems, inverters, trackers, and solar operations. Nice-to-have: • AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. • pvlib, NREL SAM. • Machine Learning. • AWS or Azure. • ASTM / IEC performance testing. • CMMS platforms such as Fiix, Maximo, or Sitetracker • PMP certification What we offer: • A High-Impact Environment • Commitment to Professional Development • Flexible and Collaborative Culture • Global Opportunities • Vibrant Community • Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here .

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