Data Science Engineer Visa Sponsorship Jobs in Washington
Washington state is one of the top destinations for data science engineer visa sponsorship jobs, driven by major tech employers like Microsoft, Amazon, and Google across the Seattle metro area. Bellevue, Redmond, and Seattle concentrate the bulk of opportunities, with aerospace firms like Boeing and healthcare systems also actively hiring and sponsoring.
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Get Access To All JobsINTRODUCTION
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
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
- Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
- Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.
ABOUT THE JOB
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.
The US base salary range for this full-time position is $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
- Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
- Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
- Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
- Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
- Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.
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
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
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
- Alternatively, will accept a Master’s degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field, and 9 years of experience in the job offered or in a Business Scientist-related occupation.
- Position requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms.
ABOUT THE JOB
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.
The US base salary range for this full-time position is $240,000 - $334,000 + 25% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google Seattle, WA office & may allow for a hybrid schedule as per Google policy.
Responsibilities
- Develop and deploy AI / GenAI algorithms and models to personalize platform capabilities for learners.
- Set the measurement strategy and oversee the creation of tools and dashboards to track solution deployment.
- Lead the analysis and interpretation of data, providing expert technical feedback to address analytical challenges.
- Direct the shift from tracking data to using OKRs to drive the right outcomes for the business; enabling best practices and data driven behaviors across CLS. Identify and lead the resolution of product gaps by analyzing user feedback and key metrics.
- Define team level OKRs and partner with Strategy & Operations and the leadership team around outcome driven measurements; bringing knowledge of the learning business into practice. Regional travel required more than 10% of the time.
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.
Data Science Engineer Job Roles in Washington
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Search Data Science Engineer Jobs in WashingtonData Science Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Washington?
Microsoft, Amazon, and Google are among the most active sponsors for data science engineer roles in Washington, particularly across the Seattle, Redmond, and Bellevue corridor. Beyond big tech, companies like Expedia, Zillow, Tableau, and T-Mobile have consistent sponsorship histories for technical roles. Boeing and Providence Health also sponsor for data-focused engineering positions within their respective industries.
Which visa types are most common for data science engineer roles in Washington?
The H-1B visa is the most common visa for data science engineers in Washington, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field like computer science, statistics, or engineering. Some employers also sponsor L-1B transfers for intracompany specialist moves, and candidates with extraordinary ability may pursue O-1 visa petitions. Australian citizens can also explore the E-3 visa as an alternative to H-1B visa.
Which cities in Washington have the most data science engineer sponsorship jobs?
Seattle and the Eastside cities of Redmond and Bellevue account for the overwhelming majority of data science engineer sponsorship jobs in Washington. Redmond is Microsoft's headquarters, and Amazon's operations are centered in Seattle. Smaller concentrations exist in Kirkland and Bothell, where mid-size tech and biotech firms operate. Outside the greater Seattle metro, Spokane has limited but growing opportunities in healthcare data and regional tech.
How to find data science engineer visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, and you can filter directly by state to browse data science engineer positions available in Washington. This removes the guesswork of identifying which employers are open to sponsorship. Pairing Migrate Mate with research into companies that have filed H-1B Labor Condition Applications in Washington via the DOL's public disclosure data gives you a strong targeting foundation.
Are there any Washington-specific factors that affect data science engineer sponsorship?
Washington has no state income tax, which affects prevailing wage benchmarking since the DOL sets wage levels based on local market data rather than take-home pay. The University of Washington produces a significant pipeline of international graduates in data science and computer engineering, meaning employers in the region are accustomed to sponsoring OPT and H-1B candidates. Washington's concentration of large tech employers also means many have established in-house immigration teams, which can streamline the sponsorship process.
What is the prevailing wage for sponsored data science engineer jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.