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Energy Forecasting Jobs in California (NOW HIRING)

Meta

Energy Analyst, New Transactions

Menlo Park, CA · On-site +1

$132K/yr

Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and quantify cost impacts across Meta's global data center portfolio * Conduct comprehensive load ...

Meta

Energy Analyst, New Transactions

San Francisco, CA · On-site +1

$132K/yr

Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and quantify cost impacts across Meta's global data center portfolio * Conduct comprehensive load ...

Prolim Global

Platform Architect

San Francisco, CA · On-site

... and energy forecasting systems. The ideal candidate will possess deep experience in data architecture, large-scale data integration, regulatory compliance, and performance optimization within ...

SB Energy

Project Manager - Energy

Redwood City, CA · On-site

Join us at SB Energy, a leading infrastructure company backed by SoftBank Group and Ares ... Maintain the project budget, including contingency utilization, cashflow and forecasting, and ...

SB Energy

Senior Analyst, FP&A

Redwood City, CA · On-site

$104K - $130K/yr

Join us at SB Energy, a leading infrastructure company backed by SoftBank Group and Ares ... Own the monthly forecast process for assigned portfolio projects and platform activities.

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Energy Forecasting information

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$56.3K

$96.9K

$129.3K

How much do energy forecasting jobs pay per year?

As of Aug 10, 2026, the average yearly pay for energy forecasting in California is $96,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $115,500.00 per year, depending on experience, location, and employer.

Is energy forecasting a good career?

Energy forecasting is a growing field that involves analyzing data and using modeling tools to predict future energy demand and supply. It requires skills in data analysis, statistics, and knowledge of energy markets, making it a valuable and in-demand profession with opportunities across the energy sector.

What are some of the common challenges faced by professionals in energy forecasting roles?

Professionals in energy forecasting often encounter challenges such as managing large datasets, adapting to rapidly changing market or weather conditions, and integrating new sources of energy data like renewables. Balancing historical trends with real-time information to produce reliable forecasts can require strong attention to detail and constant learning. Additionally, energy forecasters frequently collaborate with engineers, data scientists, and market analysts, so teamwork and cross-functional communication are important aspects of the role. Addressing these challenges effectively is key to providing insights that help organizations plan their operations and manage risk.

What is an energy forecasting job?

An Energy Forecasting job involves analyzing historical energy consumption data, market trends, weather patterns, and other variables to predict future energy demand and supply. Professionals in this role use statistical models, machine learning, and industry expertise to assist utilities, grid operators, and energy companies in optimizing resource planning, reducing costs, and ensuring reliability. Energy forecasters play a crucial role in balancing energy generation and consumption, integrating renewable energy sources, and supporting business and policy decisions.

What are the key skills and qualifications needed to thrive in energy forecasting?

To excel in Energy Forecasting, you need strong analytical abilities, a solid background in mathematics or statistics, and preferably a degree in engineering, environmental science, or a related field. Experience with forecasting software, data analysis tools like Python, R, or MATLAB, and familiarity with energy market modeling systems are frequently required. Excellent problem-solving skills, attention to detail, and effective communication are crucial for translating complex data into actionable insights. These competencies are essential for providing accurate, reliable forecasts that support informed decision-making in energy production and consumption.

What are the most commonly searched types of Energy Forecasting jobs in California? The most popular types of Energy Forecasting jobs in California are:
What are popular job titles related to Energy Forecasting jobs in California? For Energy Forecasting jobs in California, the most frequently searched job titles are:
What job categories do people searching Energy Forecasting jobs in California look for? The top searched job categories for Energy Forecasting jobs in California are:
Energy Forecasting jobs near you
Infographic showing various Energy Forecasting job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $96,875 per year, or $46.6 per hour.

Energy Analyst, New Transactions

Meta

Menlo Park, CA • On-site, Remote

$132K/yr

Full-time

Re-posted 11 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

Meta designs, builds, and operates some of the most innovative and energy-intensive data centers in the world. As global demand for compute capacity grows, so does the complexity of securing reliable, cost-effective, and sustainable energy supply. Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy team, which is responsible for commercial energy strategy, rate analysis, and load forecasting across Meta's rapidly expanding data center portfolio. In this role, you will provide analytical expertise that directly informs site selection, energy procurement decisions, and long-term capacity planning.
Energy Analyst, New Transactions Responsibilities:
  • Analyze electric utility rate structures, tariffs, and interconnection requirements for prospective and existing data center sites to support site selection and energy procurement decisions
  • Develop and maintain financial models to forecast energy consumption, evaluate rate scenarios, and quantify cost impacts across Meta's global data center portfolio
  • Conduct comprehensive load profile analysis and capacity planning studies to support infrastructure growth and energy agreement negotiations
  • Partner with Clean and Renewable Energy Managers to assess the financial and operational impact of renewable energy projects and power purchase agreements
  • Collaborate with Finance and Accounting teams to support deal evaluations, capital planning, and budget forecasting for energy expenditures
  • Engage with Infrastructure and Capacity Engineering stakeholders to incorporate data center design trends and hardware roadmaps into load forecasting methodologies
  • Build scalable analytical tools and dashboards to automate recurring energy reporting and streamline rate impact analysis
  • Synthesize wholesale energy market data, utility tariff filings, and regulatory developments into actionable insights for commercial energy strategy
  • Communicate complex energy concepts, tariff structures, and analytical findings clearly to cross-functional stakeholders including legal, real estate, and executive audiences
  • Identify opportunities to improve analytical frameworks and data pipelines in partnership with data engineering and data science teams

Minimum Qualifications:
  • Bachelor's degree in a relevant technical field, finance, or business discipline, or equivalent practical experience
  • 5+ years of relevant work experience in the energy industry, with a focus on analyzing rates and tariffs, market information, and load profiles to drive business decisions. This experience should preferably be with electric utilities, large energy consumers, energy service providers, or consultancies
  • Experience in analyzing electric utility tariffs, wholesale energy market data, load profiles, and renewable energy supply structures to support business decisions
  • Experience applying quantitative and financial modeling methodologies to evaluate energy market risks, rate scenarios, and cost optimization opportunities
  • Experience collaborating cross-functionally with Finance, Engineering, or Operations teams to translate analytical outputs into strategic recommendations
  • Experience building and maintaining scalable models or analytical tools to support energy forecasting and reporting workflows

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience working with electric utilities, independent power producers, energy service companies, or large-scale data center operators
  • Experience coding in Python, SQL, or similar languages to automate data processing and build analytical pipelines
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Proficiency with data visualization tools such as Tableau or equivalent platforms to communicate energy analytics to diverse audiences
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Familiarity with renewable energy procurement structures including power purchase agreements, renewable energy certificates, and virtual power purchase agreements

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$132,000/year to $188,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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