Cloud Data Engineer Jobs at Google with Visa Sponsorship
Cloud Data Engineer roles at Google sit at the intersection of large-scale infrastructure and real-time data systems, typically spanning BigQuery, Dataflow, and Pub/Sub. Google has a well-established sponsorship process for engineering functions and regularly files for H-1B, H-1B1, and E-3 visas across its technical workforce.
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ABOUT THE JOB
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Behind everything our users see online is the architecture built by the Technical Infrastructure (TI) team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience with databases and querying languages (e.g., SQL, MySQL).
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience writing SQL queries and retrieving data from relational databases.
- Experience with Go, Java, Python.
COMPENSATION
- The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Behind everything our users see online is the architecture built by the Technical Infrastructure (TI) team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Write product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 2 years of experience with databases and querying languages (e.g., SQL, MySQL).
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures and algorithms in either an academic or industry setting.
- Experience writing SQL queries and retrieving data from relational databases.
- Experience with Go, Java, Python.
COMPENSATION
- The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BENEFITS
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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 Cloud Data Engineer Jobs at Google Jobs
Build credentials around Google's data stack
Google's Cloud Data Engineer roles consistently emphasize BigQuery, Dataflow, Pub/Sub, and Apache Beam. Certifications like the Google Professional Data Engineer credential signal direct stack alignment and strengthen your case at both the resume screen and visa petition stage.
Target roles with a GCP specialization listed
Job postings that explicitly name GCP services in the requirements, rather than general cloud experience, indicate teams already running Google infrastructure. These roles are more likely to move quickly through internal approvals and sponsor filings for engineering candidates.
Clarify your visa category before the offer stage
Google sponsors H-1B, H-1B1, and E-3 visas for engineering roles. If you qualify for H-1B1 or E-3, flag this during recruiter conversations. These categories sit outside the H-1B lottery, which simplifies Google's filing timeline and can accelerate your start date.
Understand Google's internal transfer and team placement process
Google often hires into a team match process rather than a fixed role. If your petition is filed under a specific team but your placement shifts, confirm with your recruiter that the Labor Condition Application filed with DOL still reflects your actual work location and duties.
Use Migrate Mate to find active Cloud Data Engineer openings at Google
Filtering by visa type and role function saves significant time. Migrate Mate surfaces active Cloud Data Engineer postings at Google and lets you filter by the sponsorship categories you qualify for, so you're applying to roles already matched to your situation.
Account for USCIS processing timelines when negotiating your start date
Standard H-1B processing runs several months. If your offer comes outside a cap-exempt filing window, your start date needs to align with USCIS timelines. Build this into your negotiation early rather than after the offer letter is signed.
Cloud Data Engineer at Google jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Cloud Data Engineers?
Yes, Google sponsors H-1B visas for Cloud Data Engineers. The role qualifies as a specialty occupation given its degree requirements in computer science, information systems, or a related engineering field. Google also sponsors H-1B1 visas for Chilean and Singaporean nationals and E-3 visas for Australian citizens, both of which sit outside the H-1B lottery.
How do I apply for Cloud Data Engineer jobs at Google?
Applications go through Google's careers portal at careers.google.com. Search by role title and filter for engineering positions. Tailor your resume to highlight GCP services you've worked with, particularly BigQuery, Dataflow, and Pub/Sub. Google's process typically includes recruiter screens, technical phone interviews, and a virtual onsite loop covering systems design and coding. Migrate Mate lists active Google Cloud Data Engineer openings filtered by visa sponsorship type.
Which visa types does Google commonly use for Cloud Data Engineer roles?
Google files H-1B petitions most broadly for engineering roles, but also uses the H-1B1 for Chilean and Singaporean nationals and the E-3 for Australian citizens. For candidates already on OPT or STEM OPT, Google typically bridges employment through the F-1 period and files an H-1B petition in the next available cap season. Each visa type has different filing windows, so your nationality and current status will determine which path applies.
What qualifications does Google expect for Cloud Data Engineer roles?
Most Cloud Data Engineer postings at Google require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Hands-on experience with distributed data processing frameworks, particularly Apache Beam or Spark, and proficiency in SQL and at least one scripting language like Python are standard expectations. Senior roles typically require experience designing scalable data pipelines and working with streaming architectures in a production environment.
How long does the visa sponsorship process take for a Google Cloud Data Engineer role?
Timeline depends heavily on visa type. E-3 and H-1B1 petitions are processed directly by USCIS and generally resolve within a few months under standard processing, without waiting for a lottery. H-1B petitions are subject to the annual cap, with registrations opening in March and employment starting no earlier than October 1. If your start date is time-sensitive, discuss premium processing with your recruiter early in the offer stage.
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