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Senior Performance Engineer

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Before you apply
LocationArgentina, Argentina based Remote
Work moderemote
SenioritySenior
Experience5+ yrs
DepartmentData Engineering
Company size501–1,000 people
PostedOct 13, 2026 · 3w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
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
AI Tooling Proficiency
pvlib, NREL SAM
Machine Learning
AWS or Azure
ASTM / IEC performance testing
CMMS platforms such as Fiix, Maximo, or Sitetracker
PMP certification
Skills
Python
SQL
Power BI
Tableau
pvlib
NREL SAM
AWS
Azure
Fiix
Maximo
Sitetracker
Benefits
High impact environment
Professional development
Flexible culture
Collaborative culture
Global opportunities
Vibrant community
Total rewards
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.