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Load Forecasting Jobs in California (NOW HIRING)

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 ...

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 ...

Walmart

Senior Manager, Data Science

San Bruno, CA · On-site

$80.25 - $107.50/hr

... load forecasting, and automated self-healing. AI/ML Engineering Standards & Technical Influence Define engineering standards for AI observability, versioning, deployment, model telemetry, and ...

Calpine

Rotation Analyst

San Diego, CA · On-site

Construct Load Forecast Models utilizing Metrix IDR * Reconcile Wholesale and Retail Portfolio Positions on a weekly basis * Schedule Day-Ahead Positions with the various independent Systems ...

JConnect Inc

Invent L3 Support

Los Angeles, CA · On-site

$17.25 - $23.25/hr

... ETL), SKU/store hierarchy mismatches, and promo/calendar ingestion errors. • Diagnose forecast variances: validate model inputs, analyze diagnostics, and recommend configuration or data ...

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Load Forecasting information

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How much do load forecasting jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for load forecasting in California is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Load Forecasting vs Load Data Analyst?

AspectLoad ForecastingLoad Data Analyst
CredentialsBachelor's in Engineering, Data Science, or related fields; certifications in data analysis or energy managementBachelor's in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentEnergy companies, utilities, or grid operators; focus on predictive modelingData-driven roles in various industries; focus on analyzing and interpreting data
Industry UsagePrimarily in energy, utilities, and power sectors

Load Forecasting involves predicting future energy demand using statistical and machine learning models, essential for grid stability. Load Data Analysts focus on analyzing existing energy data to identify trends and support decision-making. While both roles require data analysis skills, Load Forecasting emphasizes predictive modeling specific to energy consumption, whereas Load Data Analysts interpret historical data to inform strategies.

What are the key skills and qualifications needed to thrive as a Load Forecaster, and why are they important?

To thrive as a Load Forecaster, you need a strong background in mathematics, statistics, and energy systems, typically supported by a relevant degree such as engineering or applied mathematics. Proficiency with forecasting software, statistical analysis tools (like R or Python), and experience with SCADA or energy management systems is commonly required. Attention to detail, analytical thinking, and effective communication are standout soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate demand predictions, optimize resource allocation, and support reliable operation of power systems.

What is load forecasting?

Load forecasting is the process of predicting the future demand for electricity over a specific period. Utilities and energy companies use load forecasting to ensure that they can meet customer demand efficiently and reliably. Accurate load forecasts help with planning generation, purchasing energy, managing grid stability, and optimizing operational costs. Forecasts can be short-term (hours or days), medium-term (weeks or months), or long-term (years), and they are crucial for maintaining a stable and economical power supply.

What are some of the common challenges faced by professionals in load forecasting roles, and how are they typically addressed?

Professionals in load forecasting often encounter challenges such as adapting to rapidly changing consumption patterns, integrating new data sources (like smart meters or renewable generation), and accounting for unexpected events (e.g., weather anomalies or economic shifts). These challenges are usually addressed by leveraging advanced statistical models, machine learning techniques, and close collaboration with data engineers and grid operators. Regularly updating models and ongoing training help ensure forecast accuracy, while teamwork facilitates the incorporation of real-time data and feedback.
What are popular job titles related to Load Forecasting jobs in California? For Load Forecasting jobs in California, the most frequently searched job titles are:
What job categories do people searching Load Forecasting jobs in California look for? The top searched job categories for Load Forecasting jobs in California are:
Load Forecasting jobs near you
Energy Analyst, New Transactions

Energy Analyst, New Transactions

Meta

San Francisco, CA • On-site, Remote

$132K/yr

Full-time

Posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 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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