Cloud Data Engineer Visa Sponsorship Jobs in Washington
Washington state is one of the strongest markets for cloud data engineer visa sponsorship in the U.S., driven by the concentration of major tech employers across the greater Seattle area. Microsoft, Amazon, and Tableau are among the companies that regularly hire and sponsor cloud data engineers in cities like Seattle, Redmond, and Bellevue.
See All Cloud Data Engineer JobsOverview
Showing 5 of 276+ Cloud Data Engineer Jobs in Washington with Visa Sponsorship jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 276+ Cloud Data Engineer Jobs in Washington with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer Jobs in Washington with Visa Sponsorship.
Get Access To All JobsDESCRIPTION
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
Cloud Data Engineer Job Roles in Washington
See all 276+ Cloud Data Engineer Jobs in Washington
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Cloud Data Engineer Jobs in WashingtonCloud Data Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for cloud data engineers in Washington?
Microsoft, Amazon, and Google have sponsored cloud data engineers in Washington through H-1B filings disclosed in Department of Labor records. Smaller cloud-focused employers such as Tableau, Snowflake, and Zillow also appear in LCA disclosure data for this role. Washington's density of cloud-native and enterprise technology companies makes it one of the more active states for this type of sponsorship.
Which visa types are most common for cloud data engineer roles in Washington?
The H-1B is the most common visa category for cloud data engineers in Washington, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already holding L-1B status through an intracompany transfer are also well represented at large multinationals headquartered in the Seattle region, including Microsoft and Amazon.
Which cities in Washington have the most cloud data engineer sponsorship jobs?
Seattle and Redmond account for the large majority of cloud data engineer sponsorship activity in Washington, reflecting the headquarters presence of Amazon and Microsoft respectively. Bellevue has grown significantly as a secondary tech hub, with a number of cloud and data platform companies establishing offices there. Kirkland and Bothell see smaller but consistent hiring volumes, primarily from mid-size technology employers.
How to find cloud data engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically for roles that come with visa sponsorship, which removes the guesswork of identifying which Washington employers will support an H-1B or other work visa. Searching for cloud data engineer roles on Migrate Mate surfaces positions from companies that have a documented history of sponsoring international candidates in Washington, helping you focus your applications where sponsorship is a realistic outcome.
Are there any Washington-specific factors cloud data engineers should know before applying for sponsored roles?
Washington has no state income tax, which affects the prevailing wage calculations employers use when filing Labor Condition Applications, since compensation benchmarks can differ from states with higher tax burdens. The University of Washington and Washington State University produce a steady pipeline of graduate-level talent in cloud and data engineering, which means sponsored candidates often compete alongside a strong local pool. Employers in Washington also tend to expect familiarity with cloud platforms such as AWS and Azure given the regional dominance of Amazon and Microsoft.
What is the prevailing wage for sponsored cloud 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.
See which cloud data engineer employers are hiring and sponsoring visas in Washington right now.
Search Cloud Data Engineer Jobs in Washington