H-1B Visa Data Engineer Jobs
Data Engineer roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, information systems, or a related field. Employers file the LCA with DOL before petitioning USCIS, and annual cap registration opens each March for an October 1 start date.
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Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
The team presents opportunities to work on very large data sets in one of the world's largest and most complex data warehouse environments. Our data warehouse is built on AWS cloud technology like Redshift, performing ETL processing on multi terabytes of relational data in a matter of hours. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation.
Key job responsibilities
You'll solve big data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and self-service data access. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
You'll work closely with the business and technical teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. You'll develop systems and tools to process data, using efficient technologies than can scale to seasonal spikes. Your work will have a direct impact on the day-to-day decision making in the team.
About the team
The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.
Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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.
COMPENSATION
- Base salary range: $154,600.00 - $209,100.00 USD annually
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
DESCRIPTION
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching?
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
The team presents opportunities to work on very large data sets in one of the world's largest and most complex data warehouse environments. Our data warehouse is built on AWS cloud technology like Redshift, performing ETL processing on multi terabytes of relational data in a matter of hours. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation.
Key job responsibilities
You'll solve big data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and self-service data access. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
You'll work closely with the business and technical teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. You'll develop systems and tools to process data, using efficient technologies than can scale to seasonal spikes. Your work will have a direct impact on the day-to-day decision making in the team.
About the team
The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's commercial and analytical needs.
Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.
BASIC QUALIFICATIONS
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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.
COMPENSATION
- Base salary range: $154,600.00 - $209,100.00 USD annually
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
See all 14,033+ H-1B Visa Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Engineer
Frame your degree against the SOC code
Data Engineer roles map to SOC 15-1243 in DOL filings. Make sure your resume and credentials explicitly connect your degree field to data pipeline, warehousing, or ETL work so the specialty occupation determination is clear-cut.
Pull LCA records before your interview
Run the OFLC Wage Search to see what wage levels competing employers have filed for Data Engineer roles in your target metro. If an offer comes in at Level 1, you'll know to push back before the LCA is submitted.
Search H-1B sponsors on Migrate Mate
Migrate Mate filters job listings by verified H-1B filing history, so you're only seeing Data Engineer roles at employers who have actively sponsored the visa. That cuts out companies that say they're open to sponsorship but have never filed.
Clarify cap-exempt status with staffing firms
Some Data Engineer contracts route through universities or nonprofit research institutions, which are cap-exempt. Ask whether the end client or the staffing firm is the H-1B petitioner, since cap-exempt status depends entirely on who signs the petition.
Request premium processing before your OPT expires
USCIS upgrades H-1B petitions to 15-business-day processing with a premium processing fee. If your OPT end date is close to October 1, confirm your employer will file premium so an RFE doesn't leave you in a gap.
Document cloud certifications as specialty evidence
USCIS adjudicators sometimes issue RFEs on Data Engineer petitions when the degree is in a broad field like information technology. AWS, GCP, or Azure certifications tied to specific pipeline architecture can strengthen the specialty occupation argument in your petition.
H-1B Visa Data Engineer: Frequently Asked Questions
Does a Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Data Engineer positions typically require a bachelor's degree or higher in computer science, information systems, or a related technical field, which meets the USCIS specialty occupation standard. The role maps to SOC code 15-1243 in DOL filings. If your job description emphasizes general IT support rather than specialized data architecture, your employer may need to add specificity before USCIS accepts the petition.
What wage level should my H-1B LCA show for a Data Engineer role?
DOL assigns wage levels from 1 to 4 based on experience and complexity. Most mid-level Data Engineer roles fall at Level 2 or 3. You can verify the prevailing wage for your specific metro area and SOC code using the OFLC Wage Search before you accept an offer. A Level 1 wage on an LCA for a role with significant design responsibility can signal a problem worth raising with your employer early.
How do I find Data Engineer jobs where the employer will actually sponsor H-1B?
The most reliable approach is to target employers with documented H-1B filing history in your specific role type. Migrate Mate surfaces Data Engineer listings filtered by verified LCA filing records, so you're focused on employers who have gone through the process before rather than those who express vague willingness. Previous filings in your role category and metro area are a strong signal that HR already knows the process.
Can I transfer my H-1B to a new Data Engineer employer mid-year?
Yes. H-1B portability under AC21 lets you start work with a new employer as soon as the transfer petition is filed with USCIS, without waiting for approval, as long as your current H-1B has been approved for at least 180 days. Your new employer files a new LCA and I-129 petition. The role doesn't have to be identical, but it must remain a specialty occupation with a comparable degree requirement.
Does the type of data stack I work with affect my H-1B petition?
Indirectly, yes. USCIS evaluates whether the position genuinely requires a specialized degree, not just technical tools. Petitions for roles centered on well-defined data engineering work like pipeline architecture, data modeling, or distributed systems are typically more straightforward than broad titles covering general analytics support. Your offer letter and job duties description should reflect the specialized scope, since adjudicators have issued RFEs when duties appeared interchangeable with general IT roles.