Energy Analysis & Modeling Engineer

About the role

We are seeking an Energy Analysis & Modeling Engineer to support our mission by developing, analyzing, and optimizing energy storage models that improve system performance, efficiency, and cost-effectiveness.

Responsibilities

• Develop, validate, and maintain energy models for battery storage and hybrid energy systems.
• Perform technical and economic analysis of energy storage systems, including savings potential, payback period, and return on investment (ROI).
• Analyze load profiles, utility tariffs, and market energy pricing to determine optimal system sizing and configuration.
• Utilize tools like Python and other simulation softwares to model microgrids, solar + storage, and grid-tied storage applications.
• Support battery degradation modeling to optimize system lifetime and financial returns.
• Collaborate with hardware and software teams to integrate real-world performance data into modeling frameworks.
• Work with business development and sales teams to generate customer proposals and feasibility studies for energy storage deployments.
• Conduct sensitivity analyses to evaluate different economic scenarios, including incentives, demand charges, and market fluctuations.
• Stay up to date with policy changes, energy storage incentives, and market trends to enhance project feasibility assessments.

Requirements

• Bachelor's or Master’s degree in Electrical Engineering, Mechanical Engineering, Energy Systems, or a related field.
• 2+ years of experience in energy modeling, energy analytics, or battery storage system analysis.
• Strong proficiency in Python, or similar tools for energy system simulation and data analysis.
• Knowledge of battery energy storage technologies, power markets, demand response, and grid integration.
• Familiarity with utility rate structures, demand charges, and incentive programs (e.g., SGIP, ITC, IRA incentives).
• Strong analytical and problem-solving skills, with the ability to translate technical findings into actionable business insights.
• Excellent communication skills, with experience in preparing technical reports and customer-facing presentations.

Qualifications

• Passionate about energy modeling, analytics, and storage optimization.
• Ability to work in a fast-scaling clean energy startup environment.

Skills

• Python programming
• Energetic and proactive attitude
• Ability to work independently and as part of a team

Benefits

• Competitive salary
• Comprehensive benefits package
• Potential for equity participation

Pay

$70K - $120K

Schedule

Full-time