Analytics Engineer Jobs at Google with Visa Sponsorship
Analytics Engineer jobs at Google sit at the intersection of data infrastructure and business intelligence, requiring deep expertise in SQL, dbt, and large-scale data pipelines. Google has a strong track record of sponsoring work visas for this function, making it a realistic target for qualified international candidates.
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INTRODUCTION
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Austin, TX, USA; Addison, TX, USA; Miami, FL, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA.
ABOUT THE JOB
As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits.
ROLE AND RESPONSIBILITIES
- Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
- Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
- Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
- Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
- Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
- Ability to travel up to 25% to customer sites.
PREFERRED QUALIFICATIONS
- Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
- People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
- Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
- Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.
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 Analytics Engineer Jobs at Google
Build a portfolio around large-scale data systems
Google's Analytics Engineer interviews emphasize experience with BigQuery, dbt, and distributed data modeling. Document projects where you designed or optimized pipelines at scale, not just queried data. Interviewers want to see systems thinking, not just SQL fluency.
Distinguish your visa type before applying
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this role. If you're Australian, the E-3 path skips the lottery entirely. Confirm your eligibility before applying so your recruiter conversation starts with clarity, not confusion.
Target teams with dedicated data infrastructure needs
Analytics Engineer openings at Google are often tied to specific product areas like Ads, Cloud, or YouTube. Roles embedded in data infrastructure teams are more likely to have headcount approved for sponsorship than generalist analytics support roles.
Time your application around H-1B cap deadlines
If you need H-1B sponsorship, USCIS registration opens in March for an October 1 start date. Google typically files early in the window. Receiving an offer by February gives your employer enough runway to prepare the petition before registration closes.
Use Migrate Mate to surface Analytics Engineer openings at Google
Sponsorship-eligible Analytics Engineer roles at Google aren't always labeled clearly on general job boards. Use Migrate Mate to filter for verified sponsoring employers and this specific role so you're applying to positions where your visa status won't be a blocker.
Prepare for DOL prevailing wage scrutiny at offer stage
Google must file a Labor Condition Application with the DOL before your visa petition can proceed. If your offer is below the prevailing wage for your location and job title, the LCA won't certify. Review DOL wage data for Analytics Engineer roles in your target city before negotiating.
Frequently Asked Questions
Does Google sponsor H-1B visas for Analytics Engineers?
Yes, Google sponsors H-1B visas for Analytics Engineer roles. The process requires Google to file a certified Labor Condition Application with the DOL before submitting your petition to USCIS. If you're subject to the H-1B cap, your petition enters the annual lottery. Google also sponsors H-1B1 visa and E-3 visas, which bypass the lottery for eligible nationals.
Which visa types does Google commonly sponsor for Analytics Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Analytics Engineer positions. H-1B is the most broadly applicable. H-1B1 is available to Chilean and Singaporean nationals and has its own annual allocation separate from the H-1B cap. E-3 is exclusive to Australian citizens and offers a more predictable path since it has no lottery and allows renewable two-year increments.
What qualifications does Google expect for Analytics Engineer roles?
Google typically looks for strong SQL proficiency, hands-on experience with tools like dbt, BigQuery, or Looker, and the ability to work across engineering and business stakeholders. A bachelor's degree in computer science, statistics, or a related field is standard. Experience designing data models for production systems at scale carries more weight than general analytics experience.
How do I apply for Analytics Engineer jobs at Google?
You can browse open Analytics Engineer roles directly on Google's careers site or use Migrate Mate to filter specifically for Google positions that are open to visa sponsorship. Once you apply, expect a multi-stage process including a recruiter screen, technical interviews covering SQL and data modeling, and a cross-functional panel. Rounds often span four to six weeks from initial contact to offer.
How do I plan my timeline if I need visa sponsorship at Google?
Your timeline depends on your visa type. E-3 and H-1B1 visa can be processed relatively quickly since they aren't lottery-dependent, with consular appointments often available within weeks of LCA certification. H-1B cap cases require landing an offer before USCIS registration closes in March, with work authorization starting October 1 at the earliest. Factor in DOL LCA certification time, which typically takes seven business days.