Analytics Engineer Visa Sponsorship Jobs in California
California hosts one of the largest concentrations of analytics engineer roles in the country, with major employers spanning San Francisco, the Bay Area, Los Angeles, and San Diego. Companies like Airbnb, Salesforce, and Snap regularly hire analytics engineers and have established records of H-1B visa sponsorship for qualified international candidates.
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Get Access To All JobsABOUT CLICKHOUSE
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We're on a mission to transform how companies use data. Come be a part of our journey!
ClickHouse is hiring a Senior Analytics Engineer, Product, to help scale our product analytics function and turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio.
In this role, you will be a core operator of our product data system, partnering deeply with Product, Engineering, and Growth to define what we measure, how we model it, and how we use it to make better decisions. You will own foundational data models, metrics, and analytical workflows that span growth and our expanding suite of ClickHouse products as we continue to build out our product data function.
Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into our Menlo Park office 1-2x per week.
WHAT YOU'LL BE DOING:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate them into technical requirements
- Develop deep expertise in the ClickHouse product and platform, becoming the connective tissue between product surfaces, engineering telemetry, and stakeholder reporting
- Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
- Partner closely with Product, Engineering, and Growth to align on metric definitions, instrument new features, and operationalize a single source of truth for product data
- Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
- Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
- Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation
WHAT YOU BRING ALONG:
- 5+ years of experience in analytics engineering, BI, or data roles within a SaaS or technology company
- Deep experience supporting Product, Growth, or Engineering functions, ideally in a product-led or technical product environment
- Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
- Experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery, and is excited to go deep on ClickHouse
- Proficient in Python for data analysis, automation, or workflow development
- Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
- Communicates clearly and can translate complex data into actionable business insights for both technical and non-technical audiences
- Comfortable operating in ambiguity and taking ownership of open-ended problems in a fast-growing function
COMPENSATION
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you're a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
ABOUT CLICKHOUSE
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We're on a mission to transform how companies use data. Come be a part of our journey!
ClickHouse is hiring a Senior Analytics Engineer, Product, to help scale our product analytics function and turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio.
In this role, you will be a core operator of our product data system, partnering deeply with Product, Engineering, and Growth to define what we measure, how we model it, and how we use it to make better decisions. You will own foundational data models, metrics, and analytical workflows that span growth and our expanding suite of ClickHouse products as we continue to build out our product data function.
Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into our Menlo Park office 1-2x per week.
WHAT YOU'LL BE DOING:
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate them into technical requirements
- Develop deep expertise in the ClickHouse product and platform, becoming the connective tissue between product surfaces, engineering telemetry, and stakeholder reporting
- Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
- Partner closely with Product, Engineering, and Growth to align on metric definitions, instrument new features, and operationalize a single source of truth for product data
- Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
- Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
- Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation
WHAT YOU BRING ALONG:
- 5+ years of experience in analytics engineering, BI, or data roles within a SaaS or technology company
- Deep experience supporting Product, Growth, or Engineering functions, ideally in a product-led or technical product environment
- Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
- Experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery, and is excited to go deep on ClickHouse
- Proficient in Python for data analysis, automation, or workflow development
- Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
- Communicates clearly and can translate complex data into actionable business insights for both technical and non-technical audiences
- Comfortable operating in ambiguity and taking ownership of open-ended problems in a fast-growing function
COMPENSATION
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you're a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what's happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Analytics Engineer Job Roles in California
See all 3,305+ Analytics Engineer Jobs in California
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Search Analytics Engineer Jobs in CaliforniaAnalytics Engineer Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for analytics engineers?
Large technology companies headquartered in California, including Airbnb, Salesforce, Apple, Google, Meta, and Snap, have consistent H-1B sponsorship histories for analytics engineering roles. Mid-size analytics and data platform companies in the Bay Area and Los Angeles also file regularly. Checking Department of Labor LCA disclosure data is one way to verify which specific employers have sponsored this role category.
Which visa types are most common for analytics engineer roles in California?
The H-1B is the most common visa category for analytics engineers in California, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with an approved EB-2 or EB-3 petition may also be working toward permanent residency. Australians in this role may have access to the E-3 visa, which has no lottery.
How to find analytics engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles in the U.S. You can filter by role and state to surface analytics engineer positions in California from employers with documented sponsorship activity. This saves time compared to filtering through general postings where sponsorship willingness is often unclear. Creating a profile on Migrate Mate also helps match you to relevant openings as they are listed.
Which cities in California have the most analytics engineer sponsorship jobs?
The San Francisco Bay Area, including San Francisco, San Jose, and Mountain View, accounts for the largest share of analytics engineer sponsorship filings in California, driven by the density of technology and data companies. Los Angeles is the second major hub, with growth in media, fintech, and e-commerce analytics. San Diego has a smaller but active cluster tied to biotech and life sciences data teams.
Are there any California-specific considerations for analytics engineers seeking visa sponsorship?
California's concentration of high-growth technology companies means prevailing wage requirements for analytics engineers are among the highest in the country, which affects what employers must commit to when filing an LCA. Many California employers recruit directly from graduate programs at UC Berkeley, Stanford, and UCLA, so candidates with ties to these institutions may find those employer relationships useful. Competition for sponsored roles in the Bay Area is also notably high.
What is the prevailing wage for sponsored 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.