Energy Engineer

Job Description:

• Evaluate potential energy savings and demand reduction opportunities, including operational changes and capital measures.
• Analyze interval (15-min/hourly) utility and sub-meter data to characterize load profiles, identify demand charge drivers, and detect anomalies.
• Execute MBCx workflows including baseline establishment, ongoing performance monitoring, and savings persistence verification; identify and present operational ECMs to facility stakeholders.
• Support the development and implementation of campus metering systems (electricity, gas, steam, chilled water); develop specifications and single-line diagrams; oversee meter commissioning and EMIS/DAS integration.
• Configure, deploy, and manage FDD rule sets within EMIS/analytics platforms; triage and prioritize fault alerts and develop fault impact estimates to support O&M decision-making.
• Measure and verify performance of energy management programs over time.
• Deliver clear technical reports and presentations translating complex analytics into actionable guidance for both technical and non-technical stakeholders.
• Other duties as assigned.

Requirements:

• Bachelor's degree in Mechanical/Electrical Engineering, Energy Systems, Computer Science, or related STEM field.
• Minimum of 3 years of experience in energy engineering, building performance analysis, or related discipline.
• Travel Required.
• CEM, CMVP, or CCP certification.
• Prior customer-facing or consulting experience.
• Hands-on experience troubleshooting, retro-commissioning, or monitoring based commissioning of HVAC systems and central cooling and heating plants.
• Familiar with measurement and verification methods and protocols.
• Working knowledge of BAS/BMS platforms.
• Energy and data analysis experience, including: Data driven modeling, Interval meter data analysis, Energy efficiency and demand reduction opportunities for HVAC, cooling and heating plants and distributed energy resources.
• Working knowledge of advanced data analysis and visualization tools (e.g., Python, R).
• Experience leveraging AI tools effectively and appropriately in an energy engineering context.
• Excellent written and verbal communication skills; high emotional intelligence; solutions-oriented mindset with ability to work independently in a fast-paced environment.

Benefits:

• health insurance
• retirement plans
• paid time off
• performance incentives
• bonuses
• commissions