Data Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for data engineer visa sponsorship, driven by a dense concentration of technology employers in the Seattle metro area. Companies like Microsoft, Amazon, and Meta maintain large data engineering teams and have established sponsorship programs. Smaller high-growth firms in cloud infrastructure, e-commerce, and enterprise software round out a deep hiring market.
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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 Engineer Job Roles in Washington
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Search Data Engineer Jobs in WashingtonData Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data engineers in Washington?
Microsoft, Amazon, and Meta are among the most active sponsors for data engineer roles in Washington, with consistent H-1B filings visible in Department of Labor disclosure data. Mid-sized technology companies in the Seattle area, including Tableau, Zillow, and Expedia, also sponsor data engineers regularly. Consulting firms and cloud services vendors with Washington offices round out the sponsorship pool beyond the largest names.
Which visa types are most common for data engineer roles in Washington?
The H-1B is by far the most common visa category for data engineers in Washington, given that the role typically requires a bachelor's degree or higher in computer science, information systems, or a related field and meets the specialty occupation standard. Candidates already in the U.S. on F-1 OPT, including the 24-month STEM extension available for qualifying degrees, frequently use that period to secure H-1B sponsorship through Washington employers.
Which cities in Washington have the most data engineer sponsorship jobs?
Seattle and its immediate suburbs, including Bellevue, Redmond, and Kirkland, account for the large majority of data engineer sponsorship jobs in Washington. Redmond is home to Microsoft's headquarters, while Amazon's offices are concentrated in Seattle proper. Smaller but growing pockets of tech hiring exist in the Eastside corridor. Outside the metro, data engineering opportunities with sponsorship are considerably more limited.
How to find data engineer visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international candidates looking for visa sponsorship roles, including data engineer positions in Washington. The platform filters jobs by sponsorship willingness and state, so you're not sifting through listings that don't apply to your situation. Focusing your search on Seattle metro employers with documented H-1B filing histories, which Migrate Mate surfaces, significantly narrows the field to realistic opportunities.
Are there any state-specific factors data engineers should know when pursuing sponsorship in Washington?
Washington has no state income tax, which affects how total compensation is structured relative to other tech hubs. The University of Washington produces a significant pipeline of computer science and data-focused graduates, which means competition for entry-level sponsorship roles can be strong. Data engineers targeting Washington employers should expect prevailing wage requirements to reflect the Seattle metro's market rates, which the Department of Labor determines based on local surveys and are employer obligations under the H-1B Labor Condition Application.
What is the prevailing wage for sponsored data 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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