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Solar Asset Performance Engineer

$100,000 - 130,000
Remote, US

About the role

Job Type: Permanent
Discipline: Engineering
Posted: 24/09/2024

A mission-driven global leader in independent engineering for the renewable energy industry is looking to hire a Senior Project Engineer for the Performance Engineering team in their Solar Advisory group. In this role, you’ll provide performance engineering analysis, focusing on operational solar assets. The work spans various disciplines, including solar photovoltaics, data science, atmospheric science, and computer science. This is a full-time remote position in the US with some travel (about 20%). The salary ranges from $100,000 to $130,000, based on experience, plus bonus and benefits.

James Canosa 2
TOUCH
James Canosa Director - Americas

James leads our US operations for Evergreen Talent Partners. A well-connected recruitment expert with 16 years of industry experience.

James Canosa Director - Americas

Responsibilities

With the core objective being to complete high-quality renewable energy analysis work, the day-to-day duties include:
  • Conducting full reports and presenting results to customers and other interested parties
  • Ensuring that all company quality control standards are met
  • Support business development activities, including collaborating on work, presenting at conferences, and attending Client/Customer meetings
  • Support the development of internal systems and processes to ensure best practice within the global team

 

Requirements

  • Bachelor’s of Science degree in Science, Engineering, Physics, Data Science, or Statistics. Master's Degree is a preferred
  • 5-8 years of related solar energy experience
  • Excellent written and verbal communication skills
  • Heavily detail orientated
  • Experience working directly with customers to develop scopes of work and to present technical results/findings
  • Thorough working knowledge of programming language(s) for use in statistics and data analysis in Python and R is highly desirable
  • SCADA analysis of discrete event, time series, and plant performance assessment

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