Senior Data Science Engineer Jobs at Google with Visa Sponsorship
Senior Data Science Engineer roles at Google sit at the intersection of large-scale machine learning infrastructure and product impact. Google has a well-established sponsorship process for this function, supporting candidates through H-1B, H-1B1, and E-3 pathways as part of its standard technical hiring.
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Get Access To All JobsINTRODUCTION
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.
In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
ROLE AND RESPONSIBILITIES
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- 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.
- Strong experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or Agent-based systems.
- Experience in developing and deploying AI solutions for enterprise applications.
- Familiar with cloud platforms (e.g., Cloud Computing Platform, Google Cloud Platform) and ML Operation practices.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience developing and launching products leveraging Agent Development Kit (ADK).
- Experience architecting and developing solutions on Google Cloud Platform.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
The US base salary range for this full-time position is $174,000-$252,000 + 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.
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
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.
In this role, with your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
ROLE AND RESPONSIBILITIES
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- 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.
- Strong experience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or Agent-based systems.
- Experience in developing and deploying AI solutions for enterprise applications.
- Familiar with cloud platforms (e.g., Cloud Computing Platform, Google Cloud Platform) and ML Operation practices.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- Experience developing and launching products leveraging Agent Development Kit (ADK).
- Experience architecting and developing solutions on Google Cloud Platform.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
The US base salary range for this full-time position is $174,000-$252,000 + 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.
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 Senior Data Science Engineer Jobs at Google Jobs
Align Your Portfolio With Google Scale
Google's hiring bar for Senior Data Science Engineers prioritizes experience with distributed systems and ML at scale. Frame past projects around data volume, model deployment pipelines, and measurable product impact rather than academic or small-dataset work.
Target the Right Google Org Early
Data science roles at Google vary significantly by org: Search, Ads, Cloud, and DeepMind each have different tooling and scope expectations. Research which team's technical stack matches your background before applying, since internal referrals carry more weight within specific orgs.
Prepare for the H-1B Cap Timeline
If your role requires a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Google typically files early, but you and your recruiter need to align on offer timing so your start date accommodates the lottery and approval window.
Secure Documentation of Specialized Degree Equivalency
USCIS scrutinizes specialty occupation claims for data science roles where job postings accept multiple degree fields. If your degree is in a non-traditional field like physics or economics, gather official transcripts and a credential evaluation before your petition is filed.
Use Migrate Mate to Surface Sponsorship Openings
Google posts Senior Data Science Engineer openings across multiple locations, and sponsorship eligibility isn't always stated upfront. Use Migrate Mate to filter and track Google roles confirmed to offer visa sponsorship, so you focus your prep on positions where you're actually eligible.
Senior Data Science Engineer at Google jobs are hiring across the US. Find yours.
Find Senior Data Science Engineer at Google JobsFrequently Asked Questions
Does Google sponsor H-1B visas for Senior Data Science Engineers?
Yes, Google sponsors H-1B visas for Senior Data Science Engineers as part of its standard technical hiring process. Google's immigration team works with outside counsel to handle petition filing, and sponsorship is typically included in your offer package. If you're subject to the H-1B cap, your offer and start date will be structured around the USCIS registration and lottery timeline.
Which visa types does Google use for Senior Data Science Engineer roles?
Google sponsors H-1B, H-1B1, and E-3 visas for Senior Data Science Engineer positions. H-1B is the most common path for non-Australian, non-Chilean nationals. Australian citizens can pursue the E-3, which has no lottery and a dedicated annual allocation. Chilean nationals can access the H-1B1. Each category has different eligibility requirements and processing steps, so confirm which applies to you early in the recruiting process.
How do I apply for Senior Data Science Engineer jobs at Google?
Applications go through Google's careers portal, but the process is highly selective at the senior level. Most successful candidates have a strong referral or prior Google-adjacent network connection. The interview loop typically includes a coding screen, two to three technical rounds focused on statistics, ML system design, and SQL, plus a Googleyness and leadership round. Tailoring your resume to Google's specific data infrastructure work substantially improves your chances of passing the initial recruiter screen.
What qualifications does Google expect for Senior Data Science Engineers?
Google expects a graduate degree in computer science, statistics, applied mathematics, or a closely related field for senior-level roles, though exceptional candidates with a bachelor's and extensive industry experience are considered. You'll need demonstrated experience building production ML systems, working with large-scale data pipelines, and influencing cross-functional product decisions. Proficiency in Python, SQL, and distributed computing frameworks like Spark or BigQuery is standard at this level.
How do I find Senior Data Science Engineer jobs at Google that offer visa sponsorship?
Google lists roles on its careers site, but sponsorship availability isn't always explicit in job descriptions. Migrate Mate filters Senior Data Science Engineer roles at Google by confirmed visa sponsorship type, so you can identify H-1B, H-1B1, or E-3 eligible openings without manually contacting recruiters for each position. This saves significant time, especially if you're working against an OPT or grace period deadline.
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