Energy Engineer
To see similar active jobs please follow this link: Remote Development jobs
Who You Are
The responsibility of the Energy Engineer is to validate energy savings for our customer sites and demonstrate findings through data analytics. This role will leverage technical skills to determine root cause analysis of previous performance and provide insights for system improvements.
Responsibilities
Determine best fit baseline data and the savings methodology for a customer.
Work closely with the data scientist team to generate meaningful and compelling charts, graphs, and data visualizations that portray the performance of the system.
Coordinate with the Customer Success team to analyze platform availability status (uptime).
Monitor projects for performance during the evaluation period. Protect Phaidra’s liability.
Analyze customer data for opportunities for improvement and optimization.
Collaborate with other teams on methods to improve system performance and share knowledge on your data findings.
Communicate performance across all key metrics to our customers on a regular cadence.
Present results to different levels of customer stakeholders in a clear and effective manner. Answer additional questions in a concise and thoughtful manner.
Develop and present annual savings reports with supporting analytics examples and insights.
Ensure on time delivery of reports in order to uphold excellent customer service and support. Coordinate with the customer to determine the best cadence for results reviews.
Identify and construct tools and documentation to automate monthly savings results.
Build company standards and playbooks around M&V and how it applies to the world of artificial intelligence.
Maintain clear and concise documentation of methodologies and insights from each of the customer sites.
*We are seeking a team member located within one of the following areas: USA/Canada
Key Qualifications
5+ years experience in Measurement & Verification, Energy Engineering, Optimization Engineering, or other related experience.
Deep understanding of HVAC systems especially around industrial controls systems, chiller plants, and airside cooling.
Previous experience with M&V or data analytics tools.
Previous experience in a customer adjacent role. Effective soft skills in presenting technical information clearly to customers at all levels of the organization (non-domain experts).
Natural curiosity and a desire to learn and problem solve when the answer may not always be clear.
Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.
Bonus
Fluency in high programming languages such as Python.
Previous experience with real world ML or AI applications.
IPMVP certifications such as CMVP, PMVA, or PMVE.
Onboarding
In your first 30 days…
You will be immersed in an onboarding program that introduces you to Phaidra, our product, and our remote working norms. Your onboarding buddy will be there every step of the way.
You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.
You will learn about various team standards and customer communication methods.
You will start to learn about our system architecture and infrastructure.
You will familiarize yourself with the current tools and processes used for communicating site results.
By your first 60 days…
You will have a solid understanding of what Phaidra does and how we do it.
You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
Begin developing Phaidra’s energy engineering and measurement and verification standards.
Monitor existing customers for performance.
You will have worked with the data scientist team to generate the next round of results for established active customers.
You will have learned how we currently document and present results.
Participate in report generation and delivery.
By your first 90 days…
You will have been fully integrated in the team and with team members across the company.
You will have acquired a more in-depth understanding of how we do data analytics and found areas for improvement.
You will have presented results to customers and have identified system improvements.
You will have started to contribute to knowledge sharing throughout Phaidra.
You will have delighted customers!
General Interview Process
All of our interviews are held via Google Meet, and an active camera connection is required.
Initial screening interview with a People Operations team member (30 minutes)
Meeting with the Hiring Manager (60 minutes)
Meeting with Technical Accounts Manager (30 minutes)
Meeting with Data Scientist (30 minutes)
Culture fit interview with Phaidra’s co-founders (30 minutes)
Base Salary Range
US Residents: $84,800-$186,000/year
This position will also include equity.
This is a best faith estimate of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.
About the job
Energy Engineer
To see similar active jobs please follow this link: Remote Development jobs
Who You Are
The responsibility of the Energy Engineer is to validate energy savings for our customer sites and demonstrate findings through data analytics. This role will leverage technical skills to determine root cause analysis of previous performance and provide insights for system improvements.
Responsibilities
Determine best fit baseline data and the savings methodology for a customer.
Work closely with the data scientist team to generate meaningful and compelling charts, graphs, and data visualizations that portray the performance of the system.
Coordinate with the Customer Success team to analyze platform availability status (uptime).
Monitor projects for performance during the evaluation period. Protect Phaidra’s liability.
Analyze customer data for opportunities for improvement and optimization.
Collaborate with other teams on methods to improve system performance and share knowledge on your data findings.
Communicate performance across all key metrics to our customers on a regular cadence.
Present results to different levels of customer stakeholders in a clear and effective manner. Answer additional questions in a concise and thoughtful manner.
Develop and present annual savings reports with supporting analytics examples and insights.
Ensure on time delivery of reports in order to uphold excellent customer service and support. Coordinate with the customer to determine the best cadence for results reviews.
Identify and construct tools and documentation to automate monthly savings results.
Build company standards and playbooks around M&V and how it applies to the world of artificial intelligence.
Maintain clear and concise documentation of methodologies and insights from each of the customer sites.
*We are seeking a team member located within one of the following areas: USA/Canada
Key Qualifications
5+ years experience in Measurement & Verification, Energy Engineering, Optimization Engineering, or other related experience.
Deep understanding of HVAC systems especially around industrial controls systems, chiller plants, and airside cooling.
Previous experience with M&V or data analytics tools.
Previous experience in a customer adjacent role. Effective soft skills in presenting technical information clearly to customers at all levels of the organization (non-domain experts).
Natural curiosity and a desire to learn and problem solve when the answer may not always be clear.
Alignment with Phaidra’s values: transparency, collaboration, operational excellence, ownership, empathy.
Bonus
Fluency in high programming languages such as Python.
Previous experience with real world ML or AI applications.
IPMVP certifications such as CMVP, PMVA, or PMVE.
Onboarding
In your first 30 days…
You will be immersed in an onboarding program that introduces you to Phaidra, our product, and our remote working norms. Your onboarding buddy will be there every step of the way.
You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.
You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.
You will learn about various team standards and customer communication methods.
You will start to learn about our system architecture and infrastructure.
You will familiarize yourself with the current tools and processes used for communicating site results.
By your first 60 days…
You will have a solid understanding of what Phaidra does and how we do it.
You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.
Begin developing Phaidra’s energy engineering and measurement and verification standards.
Monitor existing customers for performance.
You will have worked with the data scientist team to generate the next round of results for established active customers.
You will have learned how we currently document and present results.
Participate in report generation and delivery.
By your first 90 days…
You will have been fully integrated in the team and with team members across the company.
You will have acquired a more in-depth understanding of how we do data analytics and found areas for improvement.
You will have presented results to customers and have identified system improvements.
You will have started to contribute to knowledge sharing throughout Phaidra.
You will have delighted customers!
General Interview Process
All of our interviews are held via Google Meet, and an active camera connection is required.
Initial screening interview with a People Operations team member (30 minutes)
Meeting with the Hiring Manager (60 minutes)
Meeting with Technical Accounts Manager (30 minutes)
Meeting with Data Scientist (30 minutes)
Culture fit interview with Phaidra’s co-founders (30 minutes)
Base Salary Range
US Residents: $84,800-$186,000/year
This position will also include equity.
This is a best faith estimate of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.