H-1B1 Chile Visa Data Analyst Jobs
H-1B1 Chile visa sponsorship lets Chilean data analysts work in the U.S. without competing in the H-1B lottery. With an annual cap of 1,400 visas that rarely fills and consular processing instead of USCIS adjudication, qualified professionals can move faster from offer to start date than most other work visa pathways.
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Get Access To All JobsINTRODUCTION
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
ROLE AND RESPONSIBILITIES
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
- Define and manage Service Level Agreements for all data sets in allocated areas of ownership
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
- Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
- Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
- Influence product and cross-functional teams to identify data opportunities to drive impact
- Mentor team members by giving/receiving actionable feedback
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
PREFERRED QUALIFICATIONS
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
INTRODUCTION
As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide. In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community. You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
ROLE AND RESPONSIBILITIES
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
- Define and manage Service Level Agreements for all data sets in allocated areas of ownership
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
- Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
- Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
- Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
- Influence product and cross-functional teams to identify data opportunities to drive impact
- Mentor team members by giving/receiving actionable feedback
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
PREFERRED QUALIFICATIONS
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
ABOUT META
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
COMPENSATION
- Salary Range: $147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See all 71+ H-1B1 Chile Visa Data Analyst Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analyst
Align your degree to SOC codes
Data analyst roles typically fall under SOC 15-2051. Pull the O*NET occupation profile for that code and confirm your Chilean degree field matches the listed educational requirements before applying. Misalignment triggers LCA complications.
Verify prevailing wage before negotiating
Use the OFLC Wage Search to look up the prevailing wage for data analyst roles in your target metro area. Your offer must meet or exceed the applicable wage level, and employers will check this when filing the LCA with DOL.
Target employers enrolled in E-Verify
H-1B1 Chile sponsors must be enrolled in E-Verify. Filter your search to companies already participating so you avoid pursuing roles where the employer can't legally complete sponsorship, saving weeks of wasted outreach.
Search H-1B1 Chile sponsorship on Migrate Mate
Use Migrate Mate to identify employers with active H-1B1 Chile filing history for data analyst roles. DOL Labor Condition Application data surfaces which companies have actually sponsored this visa category, not just posted generic sponsorship disclaimers.
Request consular processing confirmation early
Unlike H-1B, your H-1B1 Chile application goes directly to a U.S. consulate in Chile, not through USCIS. Confirm with your prospective employer that their immigration counsel knows this distinction before the offer letter is drafted.
Get your credential evaluation ready before interviews
Chilean university degrees often follow a five-year Licenciatura structure. Have a NACES-recognized evaluation completed in advance so hiring managers can confirm your degree satisfies the specialty occupation requirement without delaying the LCA filing.
Frequently Asked Questions
Does a data analyst role qualify as a specialty occupation under the H-1B1 Chile visa?
Yes, data analyst positions typically qualify because the role requires at minimum a bachelor's degree in a directly related field such as statistics, mathematics, computer science, or information systems. The employer confirms this when filing the Labor Condition Application with DOL. Roles where any unrelated degree is accepted may face scrutiny, so your job description and degree field both matter.
How does the H-1B1 Chile visa compare to the H-1B for data analysts?
The H-1B1 Chile visa skips the H-1B lottery entirely and processes at the consulate rather than through USCIS, which means a faster path to starting work once you have an offer. The annual cap is 1,400 for Chilean nationals and has never been exhausted. The tradeoff is that H-1B1 Chile does not confer dual intent, so maintaining nonimmigrant status requires care if you pursue permanent residency later.
How do I find employers who have actually sponsored H-1B1 Chile visas for data analysts?
Migrate Mate surfaces employer-level DOL Labor Condition Application data filtered by visa category, so you can see which companies have filed for H-1B1 Chile roles in data and analytics. This is more reliable than relying on job postings that mention visa sponsorship generically, since many employers sponsor H-1B but have never filed an H-1B1 Chile application.
How long does H-1B1 Chile consular processing take for a data analyst role?
After the employer's LCA is certified by DOL, which typically takes around seven business days, you schedule a visa interview at the U.S. consulate in Chile. Interview availability and administrative processing time vary by consulate workload. Most straightforward cases receive the visa stamp within a few weeks of the interview, though complex cases can take longer.
Can I switch data analyst employers while on H-1B1 Chile status?
Yes, but you need a new LCA and H-1B1 Chile application filed by the new employer before you start work. Unlike H-1B portability under AC21, there is no grace period that lets you begin with the new employer while paperwork is pending. Coordinate the transition carefully so there is no unauthorized gap between your current authorization and the new approval.