Data Analytics Engineer Jobs at Google with Visa Sponsorship
Data Analytics Engineer jobs at Google sit at the intersection of data infrastructure and business intelligence, requiring proficiency in tools like BigQuery, SQL, and dbt. Google has a well-established sponsorship track record for this function across H-1B visa, H-1B1 visa, and E-3 visa categories, making it a realistic target for international candidates in this field.
Find Data Analytics Engineer Jobs at GoogleOverview
Showing 5 of 21+ Data Analytics Engineer Jobs at Google










See all Data Analytics Engineer Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Google.
Get Access To All Jobs
INTRODUCTION
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.
BENEFITS
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
The application window will be open until at least August 26, 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: Washington D.C., DC, USA; Boulder, CO, USA; Sunnyvale, CA, USA.
MINIMUM QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 10 years of experience defining and building global security intelligence and risk mitigation strategies.
- 10 years of experience analyzing, interpreting, and drawing solutions from data, as it relates intelligence and risk.
- 5 years of experience in resource management including defining organizational structures and managing global teams.
PREFERRED QUALIFICATIONS
- Experience managing global projects from conception to implementation.
- Experience managing and leveraging key relationships with stakeholders and vendors.
- Ability to solve for highly complex, ambiguous problems related to security intelligence, impacting end users at a global scale.
ABOUT THE JOB
From keeping Googlers safe and secure to managing disruptive events, the ability to anticipate, deter, detect, and act are the pillars of Google’s Global Security and Resilience Services (GSRS) team. As a member of GSRS you will help develop a culture where safety, security and resiliency are integrated into every facet of Google, including the creative process. You will help us continually identify, evaluate and monitor enterprise risks that could affect business activities and provide business leaders the information they need to make critical decisions. You'll collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
COMPENSATION
- US: $204000 - $284000 (USD) + 25% bonus target + equity + benefits
Responsibilities
Learn more about benefits at Google.
- Develop, maintain, and execute practices to assess and mitigate risks to company assets, and collect, evaluate, and disseminate accurate and timely intelligence assessments to appropriate stakeholders to help inform decision-making in crises.
- Provide ongoing support for data users through maintenance of reports, queries, and dashboards, fielding user questions, authoring documentation, and delivering training.
- Lead a team of individuals, set and communicate team priorities that support organizational goals.
- Engage key stakeholders throughout Google/Alphabet enterprise to improve performance.
- Drive strategic planning of Threat Intelligence Analysis in support of broader Global Intel Google goals.
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.
See all Data Analytics Engineer Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Google.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Google
Tailor your resume to Google's data stack
Google's Data Analytics Engineer roles consistently emphasize BigQuery, Looker, and dbt. Listing these tools prominently, with specific examples of pipeline builds or data model optimization, signals direct role fit before your resume reaches a technical screen.
Target roles aligned with your visa category
Google sponsors H-1B, H-1B1 visa, and E-3 visas, but not every role is posted with each pathway in mind. Australian nationals should filter for E-3-eligible positions, which sidestep the H-1B lottery and offer faster processing through a consular interview.
Find verified sponsorship openings through Migrate Mate
Search Migrate Mate to browse Data Analytics Engineer openings at Google filtered by visa type. This saves time you'd otherwise spend manually verifying whether a specific role or team has an active sponsorship track record.
Prepare for Google's technical interview format early
Google's hiring process for Data Analytics Engineers typically includes SQL problem-solving rounds and a data modeling case. Practicing BigQuery-specific query optimization and schema design puts you in a stronger position before reaching the offer stage, where sponsorship conversations begin.
Understand the H-1B cap timeline before accepting an offer
If your role requires cap-subject H-1B sponsorship, USCIS registration opens in March for an October 1 start date. Accepting an offer in late spring without accounting for this gap can create months of unauthorized work risk if your current status doesn't allow a bridge.
Confirm your degree field meets specialty occupation requirements
USCIS requires that your degree field directly relates to data analytics or a closely allied discipline. A general business degree without quantitative coursework can trigger a Request for Evidence, even at a company with an established sponsorship program like Google.
Frequently Asked Questions
Does Google sponsor H-1B visas for Data Analytics Engineers?
Yes, Google sponsors H-1B visas for Data Analytics Engineers. Google participates in the annual H-1B cap lottery and also files for cap-exempt situations where applicable. Because H-1B selection is not guaranteed, international candidates should also explore whether they qualify for H-1B1 visa or E-3 visa pathways, which Google sponsors and which bypass the lottery entirely.
Which visa types does Google commonly use for Data Analytics Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Data Analytics Engineer positions. H-1B is the most broadly available but requires lottery selection. H-1B1 is available to Chilean and Singaporean nationals, while E-3 is exclusively for Australian citizens. Both H-1B1 and E-3 offer more predictable processing timelines since they don't involve a randomized cap lottery.
How do I apply for Data Analytics Engineer jobs at Google?
Applications go through Google's careers portal, where roles are listed by team and location. For international candidates, Migrate Mate surfaces Data Analytics Engineer openings at Google filtered by visa sponsorship type, so you can confirm a role aligns with your visa pathway before investing time in the application. Roles typically require a technical screen, multiple SQL and data modeling interviews, and a hiring committee review before an offer is extended.
What qualifications does Google expect for Data Analytics Engineer roles?
Google typically looks for a bachelor's degree or higher in computer science, statistics, mathematics, or a closely related field, combined with hands-on experience building data pipelines and working with large-scale analytics systems. Proficiency in SQL, BigQuery, and at least one transformation framework like dbt is commonly expected. Candidates who can demonstrate end-to-end ownership of a data product tend to move further in the process.
How do I time my application around the H-1B filing process at Google?
If you need cap-subject H-1B sponsorship, USCIS registration opens in March each year for an October 1 start date. To be included in that cycle, you'd typically need an offer finalized by late February or early March. Starting your job search six to nine months before your current status expires gives enough runway to account for Google's multi-stage interview process and the H-1B filing window.