H-1B1 Chile Visa Data Engineer Jobs
Data Engineer jobs with H-1B1 Chile visa sponsorship are open to Chilean nationals under the U.S.-Chile Free Trade Agreement. No lottery, no USCIS petition filing, and the 1,400-visa annual cap rarely fills. Employers with active data infrastructure needs file a Labor Condition Application and you apply directly at the consulate.
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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 including Amazon Originals and exclusive licensed 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 200 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.
Key job responsibilities
This is an impactful role within Prime Video (PV) Commerce Analytics, supporting major PV investments in 2026. As a Data Engineer, you will work in one of the world's largest and most complex data warehouse environments, designing and implementing scalable data infrastructure solutions that integrate multiple heterogeneous data sources.
You will leverage AWS big data technologies including Redshift, EMR/Spark, Andes Data Lake, and native AWS services to build and maintain data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. Your curated datasets will serve 50+ downstream teams for reporting, analysis, machine learning models, and ad-hoc requests.
You will build high-performing, scalable data products that directly enable data-driven decision making across Prime Video.
- Design complex data pipelines and models powering subscription, transaction, and device registration datasets
- Deliver scalable data solutions on native AWS infrastructure
- Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness
- Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes
- Create robust orchestration and monitoring for workflows with complex dependencies
- Collaborate with cross-functional teams to onboard new data sources
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
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
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)
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 - 132,100.00 - 178,800.00 USD annually
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 including Amazon Originals and exclusive licensed 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 200 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.
Key job responsibilities
This is an impactful role within Prime Video (PV) Commerce Analytics, supporting major PV investments in 2026. As a Data Engineer, you will work in one of the world's largest and most complex data warehouse environments, designing and implementing scalable data infrastructure solutions that integrate multiple heterogeneous data sources.
You will leverage AWS big data technologies including Redshift, EMR/Spark, Andes Data Lake, and native AWS services to build and maintain data pipelines that ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams. Your curated datasets will serve 50+ downstream teams for reporting, analysis, machine learning models, and ad-hoc requests.
You will build high-performing, scalable data products that directly enable data-driven decision making across Prime Video.
- Design complex data pipelines and models powering subscription, transaction, and device registration datasets
- Deliver scalable data solutions on native AWS infrastructure
- Develop data quality validation frameworks and monitoring solutions ensuring data integrity and timeliness
- Build and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes
- Create robust orchestration and monitoring for workflows with complex dependencies
- Collaborate with cross-functional teams to onboard new data sources
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
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
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)
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 - 132,100.00 - 178,800.00 USD annually
See all 137+ H-1B1 Chile Visa Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Data Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Engineer
Verify your degree field matches the role
The H-1B1 visa requires a specialty occupation, meaning your degree must align directly with data engineering work. A computer science or information systems degree satisfies this clearly; an unrelated bachelor's paired with work experience alone does not.
Pull your O*NET occupation profile early
Data Engineer appears in O*NET under a specific SOC code that employers reference when drafting the Labor Condition Application. Knowing your SOC code lets you confirm your job duties match what DOL expects before you negotiate your offer letter.
Target employers with active LCA filing history
Search for employers who have previously filed Labor Condition Applications for data engineering roles. Migrate Mate filters job listings by verified H-1B1 Chile LCA history, so you're applying to companies already familiar with the sponsorship process.
Ask whether the employer uses E-Verify before accepting
H-1B1 Chile holders are authorized to start work once the employer files the LCA and you receive your visa stamp. Confirm the company is enrolled in E-Verify before your start date, since employment verification happens at onboarding, not at consulate approval.
Get prevailing wage confirmed before the LCA is filed
Your employer must certify your offered wage meets the DOL prevailing wage for your role and location. Run the OFLC Wage Search yourself using your SOC code and work city so you can flag any discrepancy before the LCA is submitted.
Time your consulate appointment around LCA certification
The LCA must be certified by DOL before you can schedule your consulate interview. DOL typically certifies within seven business days, so coordinate with your employer on timing to avoid booking an appointment before that step completes.
Frequently Asked Questions
Does a Data Engineer role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes. Data Engineer is classified as a specialty occupation because the role requires at least a bachelor's degree in computer science, information systems, or a directly related field. The employer confirms this in the Labor Condition Application. Roles that list a degree as preferred rather than required can create complications, so reviewing the job description before accepting an offer is important.
How does the H-1B1 Chile visa compare to H-1B for Data Engineer jobs?
The H-1B1 Chile has no lottery, no USCIS petition, and the 1,400-visa annual cap has not been exhausted in recent years. For Data Engineers, this means you can secure a role and begin the consulate process without waiting for a lottery result. The trade-off is that H-1B1 Chile does not permit dual intent, so long-term permanent residence planning requires a separate strategy.
Can I switch Data Engineer employers while on an H-1B1 Chile visa?
Yes, but unlike the H-1B visa portability rule, the H-1B1 Chile does not allow you to start working for a new employer while a transfer petition is pending. Your new employer must file a fresh LCA, and you typically need to return to the consulate for a new visa stamp before beginning work. Coordinating the timing of your last day with your new employer's LCA certification is essential.
How do I find Data Engineer employers who already know how to sponsor the H-1B1 Chile visa?
Migrate Mate lists Data Engineer jobs filtered by employers with verified H-1B1 Chile LCA filing history, so you can identify companies that have already navigated the sponsorship process. This reduces the risk of an employer agreeing to sponsor and then discovering the filing requirements mid-process. Focus on employers in cloud infrastructure, analytics, and enterprise software, where demand for data engineering is consistent.
What documents should a Chilean Data Engineer prepare before the consulate interview?
You'll need your certified Labor Condition Application, an offer letter specifying your role and wage, academic transcripts and your degree certificate, a valid Chilean passport, the DS-160 confirmation, and the visa interview appointment confirmation. If your degree is not from a Chilean or U.S. institution, a credential evaluation from a USCIS-recognized evaluator is typically required to confirm equivalency.