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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Get Access To All JobsINTRODUCTION
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.
What You’ll Do:
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements
BASIC QUALIFICATIONS:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 4 years of experience in distributed data
- At least 4 years of experience with SQL
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
- At least 4 years of experience designing and developing data pipelines
- At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
PREFERRED QUALIFICATIONS:
- Master’s Degree in Computer Science or a related field
- 8+ years of experience in data engineering
- 4+ years of data modeling experience
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
- 3+ years of experience working in an Agile development environment
- 3+ years of experience developing user-centric reusable data products
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- McLean, VA: $229,900 - $262,400 for Data Engineer 5
- Richmond, VA: $209,000 - $238,500 for Data Engineer 5
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
INTRODUCTION
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One.
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.
What You’ll Do:
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
- Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
- Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community
- Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers
- Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
- Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding
- Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands
- Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
- Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements
BASIC QUALIFICATIONS:
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in application development (Internship experience does not apply)
- At least 4 years of experience in distributed data
- At least 4 years of experience with SQL
- At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala
- At least 4 years of experience designing and developing data pipelines
- At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems
PREFERRED QUALIFICATIONS:
- Master’s Degree in Computer Science or a related field
- 8+ years of experience in data engineering
- 4+ years of data modeling experience
- 9+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java
- 5+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
- 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
- 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines
- 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster)
- 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
- 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)
- 3+ years of experience working in an Agile development environment
- 3+ years of experience developing user-centric reusable data products
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- McLean, VA: $229,900 - $262,400 for Data Engineer 5
- Richmond, VA: $209,000 - $238,500 for Data Engineer 5
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
See all 735+ H-1B1 Chile Visa Data Engineer Jobs
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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.