Data Analytics Engineer Visa Sponsorship Jobs in California
California is one of the most active states for data analytics engineer visa sponsorship, driven by major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Apple, and Salesforce regularly hire for these roles, and the state's concentration of data-intensive industries makes sponsorship a standard part of hiring.
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Get Access To All JobsRequisition ID: 174465
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: San Ramon
Department Overview
The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations.
WEO partners with leaders in Energy Delivery and other parts of the business to develop and recommend a strategic direction for emergency preparedness, emergency response and public partnerships. Wildfire, Emergency and Operations is comprised of roughly 1,792 coworkers.
Position Summary
The Operations Data Analyst extracts operations data for analysis, leadership support and responses to ad hoc data requests. The incumbent maintains operations tools & databases ensuring that it is kept up-to-date using data from various PG&E systems. They develop, maintain and enhance operational metric database tools for the broader analytics team(s). The Analyst identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.
This position is hybrid, working from your remote office and your assigned location based on business need. Headquarters will be San Ramon and Tuesdays will be expected in office.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
Bay Minimum: $90,000
Bay Maximum: $136,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job Responsibilities
-
Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
-
Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
-
Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts.
-
Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
-
Develops and communicates clear, concise and actionable data analyses for clients.
Qualifications
Minimum:
BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
Job-related experience, 2 years
Desired:
-
Familiarity with utility operations.
-
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
-
Advanced skill in building Power Bi reports
-
Advanced skill in writing SQL queries
-
Solid knowledge of python programming language and common data packages like pyspark and pandas.
-
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
-
Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
-
Project management skills.
-
Familiarity with cloud based data integration platforms such as SnowFlake or Foundry
Requisition ID: 174465
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: San Ramon
Department Overview
The Wildfire, Emergency and Operations (WEO) organization is responsible for oversight of PG&E’s wildfire operations and associated mitigations. The organization is responsible for the development and maintenance of consistent processes and work standards associated with sustainable wildfire and emergency response preparedness operations in line with our regulatory policies and practices. Operational Safety, Enterprise Corrective Action Program, Safety Programs, Contractor Safety, and Transportation Safety & Compliance is also embedded within Wildfire, Emergency and Operations.
WEO partners with leaders in Energy Delivery and other parts of the business to develop and recommend a strategic direction for emergency preparedness, emergency response and public partnerships. Wildfire, Emergency and Operations is comprised of roughly 1,792 coworkers.
Position Summary
The Operations Data Analyst extracts operations data for analysis, leadership support and responses to ad hoc data requests. The incumbent maintains operations tools & databases ensuring that it is kept up-to-date using data from various PG&E systems. They develop, maintain and enhance operational metric database tools for the broader analytics team(s). The Analyst identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries.
This position is hybrid, working from your remote office and your assigned location based on business need. Headquarters will be San Ramon and Tuesdays will be expected in office.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
Bay Minimum: $90,000
Bay Maximum: $136,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.
Job Responsibilities
-
Manage standard, routine data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time.
-
Work with other Data Management Analysts to process data, analyze data and report findings. Creates automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
-
Manages standard data extracts and list pulls ensuring accurate data. Transfers the data from databases to various analysts to support operational analysis efforts.
-
Demonstrates full understanding of data processing and analysis techniques. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles.
-
Develops and communicates clear, concise and actionable data analyses for clients.
Qualifications
Minimum:
BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience
Job-related experience, 2 years
Desired:
-
Familiarity with utility operations.
-
Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA)
-
Advanced skill in building Power Bi reports
-
Advanced skill in writing SQL queries
-
Solid knowledge of python programming language and common data packages like pyspark and pandas.
-
Strong organizational skills, ability to effectively prioritize work, meet deadlines and work on multiple tasks independently.
-
Good communications and presentation skills to deliver findings and make recommendations to stakeholders.
-
Project management skills.
-
Familiarity with cloud based data integration platforms such as SnowFlake or Foundry
Data Analytics Engineer Job Roles in California
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Search Data Analytics Engineer Jobs in CaliforniaData Analytics Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in California?
Large technology companies in California are among the most frequent sponsors for data analytics engineer roles. Google, Apple, Meta, Salesforce, Adobe, and Databricks have consistent histories of H-1B visa sponsorship for data-focused engineering positions. Beyond big tech, companies in fintech, healthcare data, and e-commerce, including Square, Workday, and DoorDash, also sponsor regularly. Sponsorship volume tends to correlate with company size and the technical depth of the role.
Which visa types are most common for data analytics engineer roles in California?
The H-1B is the most common visa category for data analytics engineers in California, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, meeting the specialty occupation standard. F-1 graduates on OPT or STEM OPT often work in these roles before transitioning to H-1B sponsorship. Candidates with extraordinary recognition in the field may qualify for the O-1A, though that pathway is less common for early-career roles.
Which cities in California have the most data analytics engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, San Francisco, and Mountain View, concentrates the largest share of data analytics engineer sponsorship jobs in California. Los Angeles has a growing cluster driven by media tech, advertising platforms, and startups. San Diego has a smaller but active market tied to biotech and defense data companies. For remote-first roles headquartered in California, the sponsoring employer's registered state is typically still California regardless of where the employee works.
How to find data analytics engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data analytics engineer roles in California where employers are actively open to sponsoring. Rather than sifting through general job boards where sponsorship status is unclear, Migrate Mate surfaces positions where sponsorship is part of the employer's hiring intent. Filtering by state and role lets you focus your applications on California-based opportunities that match your experience and visa needs.
Are there any California-specific considerations for data analytics engineers seeking visa sponsorship?
California's prevailing wage requirements under the H-1B program are generally higher than the national average, reflecting the state's elevated cost of living and competitive labor market, particularly in the Bay Area. Many California universities, including UC Berkeley, Stanford, and UCLA, produce large pipelines of international graduates who pursue sponsorship in this field, which means competition for roles can be significant. Employers familiar with sponsoring in California tend to have established legal and HR processes for managing H-1B petitions.
What is the prevailing wage for sponsored data analytics engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.