H-1B1 Chile Visa Business Intelligence Engineer Jobs
H-1B1 Chile visa sponsorship lets Chilean Business Intelligence Engineers work in the U.S. without entering a lottery. With an annual cap of 1,400 visas that rarely fills and consulate processing instead of USCIS adjudication, qualified candidates with a data-focused degree and a U.S. job offer can move faster than most visa categories allow.
See All Business Intelligence Engineer JobsOverview
Showing 5 of 15+ Business Intelligence Engineer 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 Business Intelligence Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Engineer roles.
Get Access To All JobsAbout the Team
Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves.
About the Role
In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store organization.
You're excited about this opportunity because you will…
- Build foundational AI infrastructure and data pipelines that directly shape the scalability and productivity of the entire organization
- Work across a modern, expansive tech stack including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, NetSuite, and more
- Serve as a strategic link between SevenRooms and DoorDash, integrating systems and data in ways that haven't been tackled yet
- Partner closely with stakeholders across every department — GTM, Finance, Operations, and beyond — to surface data that drives real decisions
- Own governance and control mechanisms that ensure accuracy and reliability across all data pipelines
We're excited about you because…
- You have 3+ years of hands-on experience with DBT and at least 1 year owning and architecting production-grade data pipelines end-to-end, and 4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
- You have 4+ years of demonstrated SQL mastery and 2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
- You have experience deploying or launching AI models in a business context and can confidently contribute to building the infrastructure needed to scale those capabilities further
- You have a track record of independently managing multiple high-priority initiatives at once, translating complex technical work into clear insights and recommendations for non-technical stakeholders across departments
- You bring a rigorous approach to data quality and pipeline governance, with the ability to build scalable systems that teams across the business can rely on with confidence
We expect this position to be filled by 7/6/2026.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
About the Team
Our Business Intelligence team exists at the intersection of data and strategy, partnering closely with every department to ensure information is accessible, accurate, and actionable. We build the data products, pipelines, and infrastructure that power decision-making across the organization — from surfacing new business insights to moving data between systems with precision and reliability. As part of the DoorDash family, we are deeply focused on integrating SevenRooms' data ecosystem into the broader organization, creating connections that compound in value over time. We are a collaborative, business-first team that believes great data infrastructure is foundational to every meaningful outcome the company achieves.
About the Role
In this role, you will sit at a strategic vertex within our technology organization, owning critical pieces of infrastructure that the entire business depends on. You will hit the ground running — establishing new API connections to external data sources, modeling and surfacing data to key stakeholders, and architecting automated AI flows that expand productivity across teams. A significant focus will be on GTM-aligned data initiatives, as well as building the underlying systems that enable AI capabilities within our database and business platforms. You will also play a vital integration role, marrying data between SevenRooms and DoorDash in ways that have yet to be fully realized, making this both a highly technical and highly strategic position. Within 6 to 12 months, you will be expected to have deep familiarity across our full data stack — including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, and NetSuite — independently driving initiatives across multiple departments and establishing governance standards that ensure pipeline accuracy and trust at scale. You will report into the Manager of Business Intelligence on our Data & Analytics Team under the Strategy & Operations - In-Store organization.
You're excited about this opportunity because you will…
- Build foundational AI infrastructure and data pipelines that directly shape the scalability and productivity of the entire organization
- Work across a modern, expansive tech stack including DBT, Looker, BigQuery, Fivetran, Census, Cloud Functions, Salesforce, NetSuite, and more
- Serve as a strategic link between SevenRooms and DoorDash, integrating systems and data in ways that haven't been tackled yet
- Partner closely with stakeholders across every department — GTM, Finance, Operations, and beyond — to surface data that drives real decisions
- Own governance and control mechanisms that ensure accuracy and reliability across all data pipelines
We're excited about you because…
- You have 3+ years of hands-on experience with DBT and at least 1 year owning and architecting production-grade data pipelines end-to-end, and 4+ years owning and administering a BI tool such as Looker, Tableau, or Mode
- You have 4+ years of demonstrated SQL mastery and 2+ years of Python experience applied to real-world data challenges, including API integrations, data extraction, and workflow orchestration via Airflow or Cloud Composer
- You have experience deploying or launching AI models in a business context and can confidently contribute to building the infrastructure needed to scale those capabilities further
- You have a track record of independently managing multiple high-priority initiatives at once, translating complex technical work into clear insights and recommendations for non-technical stakeholders across departments
- You bring a rigorous approach to data quality and pipeline governance, with the ability to build scalable systems that teams across the business can rely on with confidence
We expect this position to be filled by 7/6/2026.
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
See all Business Intelligence Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Engineer
Align your degree to BI engineer roles
H-1B1 Chile requires a specialty occupation, so your degree must directly relate to business intelligence work. A degree in computer science, statistics, or information systems maps cleanly; a business-only degree without quantitative coursework can trigger consular scrutiny.
Target employers with LCA filing history
Search for BI Engineer roles at companies that have previously filed Labor Condition Applications for data and analytics positions. DOL's OFLC disclosure data shows which employers are already familiar with the H-1B1 visa process, reducing back-and-forth during the offer stage.
Use Migrate Mate to filter H-1B1 sponsors
Search for Business Intelligence Engineer roles on Migrate Mate to see employers filtered by H-1B1 Chile sponsorship history. It pulls DOL Labor Condition Application data so you're applying to companies that have already demonstrated willingness to sponsor Chilean nationals.
Verify your wage meets prevailing standards
Your offer salary must meet or exceed the DOL prevailing wage for your specific SOC code and work location. Run your job title and metro area through the OFLC Wage Search before accepting an offer to confirm the number your employer must certify on the LCA.
Confirm your employer files the LCA before you schedule
Unlike H-1B visa, the H-1B1 Chile process skips USCIS petition approval, but your employer still must obtain a certified LCA from DOL before you can apply at the consulate. Delays in LCA certification are the most common reason BI candidates miss their interview window.
Prepare a clear specialty occupation argument
Consular officers evaluate whether your BI Engineer role genuinely requires a theoretical and practical application of specialized knowledge. Bring documentation showing the role requires advanced SQL, data modeling, or BI platform expertise tied directly to your degree field, not just general analytical tasks.
Frequently Asked Questions
Does a Business Intelligence Engineer role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes, Business Intelligence Engineer positions typically qualify because they require at least a bachelor's degree in a directly related field such as computer science, information systems, or statistics. The key is that your specific role must demand specialized theoretical knowledge, not just general data analysis. O*NET classifies BI roles under database and network administrators and architects, which consistently meets the specialty occupation standard.
How does the H-1B1 Chile visa compare to H-1B for BI Engineer roles?
The H-1B1 Chile visa skips the H-1B lottery entirely, which means no random selection and no cap-subject petition filed with USCIS. The annual allocation of 1,400 visas for Chilean nationals has never been exhausted, so qualified BI Engineers with a job offer can apply at the U.S. consulate in Chile without waiting for a lottery result. The trade-off is that H-1B1 doesn't carry dual intent, so immigrant visa plans require separate handling.
How do I find employers who sponsor H-1B1 Chile visas for BI Engineer positions?
Use Migrate Mate to search Business Intelligence Engineer roles filtered by H-1B1 Chile sponsorship history. Migrate Mate surfaces employer LCA filing data from DOL so you can identify companies that have previously sponsored Chilean nationals in data and analytics roles, rather than applying broadly and discovering sponsorship limitations late in the process.
What documents do I need for the H-1B1 Chile consular interview as a BI Engineer?
You'll need a certified LCA from DOL, your DS-160 confirmation, a valid passport, the job offer letter specifying your BI Engineer role and responsibilities, and academic credentials showing your degree in a relevant field. Consular officers may ask for evidence that your duties require specialized BI knowledge, so bring documentation of technical responsibilities like data pipeline development, dashboard architecture, or advanced analytics platform work.
Can I change employers while on H-1B1 Chile status if I'm working as a BI Engineer?
Yes, but the H-1B1 Chile visa is employer-specific, so you can't simply transfer it. Your new employer must file a fresh LCA with DOL for the new position, and you'll generally need to return to Chile for a new consular interview rather than changing status domestically. Starting the LCA process with your new employer as early as possible reduces the gap between roles.
See which Business Intelligence Engineer employers are hiring and sponsoring visas right now.
Search Business Intelligence Engineer Jobs