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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The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve.
The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems.
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.
Key job responsibilities
- Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation)
- Analyze business data to optimize key processes in Retail and Supply Chain domains
- Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models
- Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards
- Monitor, optimize, and enhance data infrastructure to support analytics and machine learning
- Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices
BASIC QUALIFICATIONS
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of data engineering experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $132,100.00 - $178,800.00 USD annually
DESCRIPTION
The North American Stores Expansion Team is seeking an experienced and motivated Data Engineer to work on driving strategic projects across multiple geographies. We collaborate with Retail, SCOT (Supply Chain Optimization Technologies), AIT (Amazon Inbound Transportation), Vendor Negotiations, and Canada Product teams to develop scalable analytics applications, AI/ML products, and research models that optimize operations and enable business expansion. The environment is fast-paced with constant new challenges to solve.
The ideal candidate will have good leadership skills, proven ability to develop, enhance, automate, and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists, Data Scientists, Software Development Engineers, Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems.
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.
Key job responsibilities
- Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation)
- Analyze business data to optimize key processes in Retail and Supply Chain domains
- Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models
- Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards
- Monitor, optimize, and enhance data infrastructure to support analytics and machine learning
- Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices
BASIC QUALIFICATIONS
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of data engineering experience
- Bachelor's degree
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $132,100.00 - $178,800.00 USD annually
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 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 petitions. Australian citizens can also explore the E-3 visa as an alternative to H-1B.
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.
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