Data Engineer Jobs at Google with Visa Sponsorship
Data Engineer jobs at Google sit at the intersection of large-scale infrastructure and product impact, spanning pipelines, warehousing, and real-time data systems. Google has a well-established sponsorship process for this function, supporting H-1B visa, H-1B1 visa, and E-3 visa candidates through structured legal and recruiting teams.
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Get Access To All JobsINTRODUCTION
This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least May 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
ABOUT THE JOB
The Product Data Warehouse (PDW) team within Go-to-Market tracks adoption of ads and measurement products and features. This is used to generate lead lists, analyze the value of various features, set priorities for sales teams, and to help influence the direction of Ads products. Our goal is to organize and produce data that's thoughtful, useful to sales teams, and widely accessible. You'll also find our work in our Ads CRM (Connect Sales), in sales leads' database scripts, in weekly leadership meetings, in incentive contracts for partners, and referenced in Ads annual plans. In this role, you will lead the measurement and monitoring of the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing analysis to derive insights and opportunities. You will work cross-functionally with Global Product Leads, Go-to-Market, Sales, etc. to make sure we have a clear understanding of Measurement, Audience and Data products and to find areas of opportunity. The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.
BASIC QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
5 years of experience coding in one or more programming languages.
5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
PREFERRED QUALIFICATIONS
5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
Experience in ad sales, ad support, finance, data science, or strategy and operations roles.
Familiarity with Google's Search and Measurement products.
* Knowledge of business intelligence platforms, distributed databases, data analysis tools, and code review systems.
Responsibilities
Learn more about benefits at Google.
Drive ads and search, shopping, and performance max feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using the F1 query engine, and other tools to support key resources.
Synthesize advertiser data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
Define and prioritize KPIs to drive key global initiatives that will be used by regions, countries, and sales pods in all sales channels.
Be a strategic thought partner to commercial leaders of products like Performance Max.
* Manage special projects as assigned.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $156000 - $227000 (USD) + 15% bonus target + bonus + equity + benefits
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.
INTRODUCTION
This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least May 29, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; San Francisco, CA, USA.
ABOUT THE JOB
The Product Data Warehouse (PDW) team within Go-to-Market tracks adoption of ads and measurement products and features. This is used to generate lead lists, analyze the value of various features, set priorities for sales teams, and to help influence the direction of Ads products. Our goal is to organize and produce data that's thoughtful, useful to sales teams, and widely accessible. You'll also find our work in our Ads CRM (Connect Sales), in sales leads' database scripts, in weekly leadership meetings, in incentive contracts for partners, and referenced in Ads annual plans. In this role, you will lead the measurement and monitoring of the measurement, audience and data products by developing Key Performance Indicators (KPIs), data pipelines, dashboards, and doing analysis to derive insights and opportunities. You will work cross-functionally with Global Product Leads, Go-to-Market, Sales, etc. to make sure we have a clear understanding of Measurement, Audience and Data products and to find areas of opportunity. The Global Business Organization (GBO) is the engine that powers Google’s full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners.
BASIC QUALIFICATIONS
Bachelor's degree or equivalent practical experience.
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
5 years of experience coding in one or more programming languages.
5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.
PREFERRED QUALIFICATIONS
5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
Experience in ad sales, ad support, finance, data science, or strategy and operations roles.
Familiarity with Google's Search and Measurement products.
* Knowledge of business intelligence platforms, distributed databases, data analysis tools, and code review systems.
Responsibilities
Learn more about benefits at Google.
Drive ads and search, shopping, and performance max feature adoption by developing scalable, shareable sales tools, dashboards, data, and programs using the F1 query engine, and other tools to support key resources.
Synthesize advertiser data and conduct analyses to deliver insights and actionable recommendations for product and sales leadership.
Define and prioritize KPIs to drive key global initiatives that will be used by regions, countries, and sales pods in all sales channels.
Be a strategic thought partner to commercial leaders of products like Performance Max.
* Manage special projects as assigned.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $156000 - $227000 (USD) + 15% bonus target + bonus + equity + benefits
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.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Google
Tailor your portfolio to Google's stack
Google's Data Engineer roles lean heavily on BigQuery, Dataflow, and Pub/Sub. Showcasing hands-on experience with these tools, or their open-source equivalents like Apache Beam, signals immediate fit and reduces friction in technical screening.
Target teams hiring across multiple visa types
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Engineers. If you're Australian or a Singapore or Chilean national, clarifying your visa category early helps recruiters route your application to the right legal workflow from the start.
Align your application to Google's leveling system
Google evaluates Data Engineers against internal levels (L3 to L6+). Applying at the right level matters for sponsorship, since more senior roles often move through offer and filing stages faster due to established headcount and legal budget.
Prepare your credentials before recruiter conversations
Have your degree transcripts, any relevant certifications, and a clear employment history ready before your first recruiter call. Google's legal team needs this documentation early in the H-1B or E-3 petition process, and gaps cause delays.
Understand the H-1B cap timing relative to your start date
If you need a new H-1B, USCIS registration opens in March for an October 1 start. Plan your Google interview process so an offer lands before the registration window, giving your sponsor enough runway to file on your behalf.
Use Migrate Mate to surface open Data Engineer roles at Google
Data Engineer openings at Google move quickly and aren't always easy to filter by sponsorship type. Use Migrate Mate to browse current listings at Google filtered by visa category, so you're applying to roles where sponsorship is already confirmed.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Engineers?
Yes, Google sponsors H-1B visas for Data Engineer roles. Google has dedicated immigration legal teams that manage the petition process from Labor Condition Application filing with the DOL through USCIS adjudication. If you need H-1B sponsorship, you'll want to confirm the specific role is eligible during your recruiter screening call, as sponsorship decisions are made at the team level.
How do I apply for Data Engineer jobs at Google?
Applications go through Google's careers portal, where you can filter by job function and location. For the strongest chance of being seen, tailor your resume to highlight experience with distributed data systems and Google Cloud tooling. You can also browse current Data Engineer openings at Google filtered by visa sponsorship type on Migrate Mate, which surfaces roles where sponsorship has been confirmed.
Which visa types does Google commonly sponsor for Data Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Engineer positions. H-1B is the most common pathway for most nationalities. H-1B1 applies to nationals of Singapore and Chile, and E-3 applies exclusively to Australian citizens. Each visa type has different filing mechanics and timelines, so clarifying your category early in the recruiting process helps Google's legal team plan accordingly.
What qualifications does Google expect for sponsored Data Engineer roles?
Google's Data Engineer roles typically require a bachelor's degree or higher in computer science, engineering, or a related field, which also satisfies the specialty occupation requirement for H-1B and E-3 petitions. Beyond credentials, Google's technical bar emphasizes hands-on experience with large-scale data pipelines, SQL and distributed systems, and familiarity with cloud-native tooling. Passing the technical interview loop is the main filter, not just degree level.
How do I navigate the timeline between offer and visa filing at Google?
After an offer is accepted, Google's immigration team initiates the visa petition process, which typically starts with the employer filing a Labor Condition Application with the DOL. For H-1B transfers from another sponsoring employer, you can start work as soon as USCIS receives the petition. For new H-1B cap cases, the October 1 start date is fixed, so build at least six months of runway into your job search timeline.