Senior Staff Data Engineer Visa Sponsorship Jobs in California
Senior staff data engineer roles in California attract strong visa sponsorship activity, particularly from technology companies in the San Francisco Bay Area, Los Angeles, and San Diego. Employers like Google, Meta, Apple, and Databricks regularly hire at this level. California's concentration of data-intensive industries makes it one of the most active states for senior staff data engineer hiring.
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Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- Experience in team management.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
ABOUT THE JOB
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
PREFERRED QUALIFICATIONS
- 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.
- Experience in team management.
Responsibilities
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
- Apply data analysis, machine learning, and AI algorithms to develop models and drive thinking.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Senior Staff Data Engineer Job Roles in California
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Search Senior Staff Data Engineer Jobs in CaliforniaSenior Staff Data Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for senior staff data engineers in California?
Large technology employers are the most consistent sponsors for senior staff data engineer roles in California. Companies like Google, Meta, Apple, Salesforce, Adobe, Databricks, and Snap have established immigration programs and regularly file H-1B visa petitions for senior engineering positions. Enterprise technology and cloud infrastructure firms tend to have dedicated immigration counsel and structured sponsorship processes for roles at this seniority level.
Which visa types are most common for senior staff data engineers in California?
The H-1B is the most common visa for senior staff data engineers in California, as the role typically requires a bachelor's degree or higher in computer science, data engineering, or a related field, meeting the specialty occupation standard. Candidates with extraordinary ability may qualify for the O-1A. Australians can pursue the E-3 visa, and Canadian and Mexican nationals may qualify under TN visa status in relevant engineering categories.
Which cities in California have the most senior staff data engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, accounts for the largest concentration of senior staff data engineer sponsorship activity in California. Los Angeles has a growing presence, driven by media technology and ad-tech companies. San Diego has emerging opportunities linked to biotech and defense technology firms that operate large data infrastructure teams.
How to find senior staff data engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for senior staff data engineer roles in California without sorting through positions that don't offer sponsorship. The platform is designed for international candidates, so listings are already screened for sponsorship signals. Filtering by state and seniority level on Migrate Mate helps narrow results to the California market efficiently.
Are there state-specific considerations for senior staff data engineers seeking sponsorship in California?
California employers must comply with Department of Labor prevailing wage requirements when filing Labor Condition Applications for H-1B positions, and senior staff-level roles in the Bay Area typically fall into the highest prevailing wage tiers given the local wage benchmarks. California's strong labor protections also mean employers are generally experienced with compliance obligations. University programs at UC Berkeley, Stanford, and UCLA feed a well-established pipeline of advanced engineering talent into sponsoring firms.
What is the prevailing wage for sponsored senior staff data 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.