H-1B Visa Analytics Engineer Jobs
Analytics Engineer roles qualify for H-1B sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Employers file the LCA with DOL before sponsoring your H-1B, certifying your wage meets the prevailing rate for your work location.
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Get Access To All JobsAbout Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About the role
Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.
Join us and be part of a team that values data-driven innovation and excellence.
What You Will Do
The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives.
- Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
- Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
- Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
- Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
- Optimize processes for operational excellence in project management and system reliability.
- Ensure security standards are met within data systems and workflows.
- Ensure and promote data quality standards for accurate and reliable insights.
- Embrace emerging technologies with enthusiasm.
Minimum qualifications
- 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
- Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
- Production-level development experience in Python.
- Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
- Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
- Experience with Airflow, Docker, DBT or similar analytics workflow tools.
- BA/BS degree in Computer Science, Math, Physics, or a related technical field.
Nice-to-haves
- Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
- Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).
Salary Range
San Francisco: the pay range for this role is $196,000 to $269,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards: Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form).
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy).
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About the role
Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a technical owner in our team to work closely with Revenue Operations, GTM Systems Engineers, Data Scientists, Product Analysts and Software Engineers to support revenue-driving GTM initiatives by designing and building scalable data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve GTM data consumption workflows (e.g., Snowflake, BI tools, Salesforce), and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.
Join us and be part of a team that values data-driven innovation and excellence.
What You Will Do
The ideal candidate will possess a perfect blend of data engineering technical expertise and the product sense to be able to translate internal customer needs into practical solutions. They will have strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on GTM data initiatives.
- Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
- Lead the technical execution in building scalable data models and pipelines for a GTM domain defining the architecture, data requirements, and roadmap (e.g., Contact Scoring, Lead Qualification, Sales Pipeline, Sales Enablement).
- Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
- Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
- Optimize processes for operational excellence in project management and system reliability.
- Ensure security standards are met within data systems and workflows.
- Ensure and promote data quality standards for accurate and reliable insights.
- Embrace emerging technologies with enthusiasm.
Minimum qualifications
- 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
- Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
- Production-level development experience in Python.
- Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
- Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
- Experience with Airflow, Docker, DBT or similar analytics workflow tools.
- BA/BS degree in Computer Science, Math, Physics, or a related technical field.
Nice-to-haves
- Experience with GTM specific data modeling using a BI tool such as Looker or similar while leveraging conversational analytics. Build and own the GTM semantic layer.
- Hands-on experience with GTM-specific data and platform apps, including Reverse ETL (e.g., Hightouch), ELT/Ingestion tools (e.g., Fivetran), iPaaS/Integration platforms (e.g., Workato, N8N, Zapier), and CRM/GTM systems and tool (e.g., Salesforce, Clay).
Salary Range
San Francisco: the pay range for this role is $196,000 to $269,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards: Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form).
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy).
See all 10,903+ Analytics Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an Analytics Engineer
Frame your degree for specialty occupation
USCIS evaluates whether your degree field directly relates to Analytics Engineering. A computer science or statistics degree maps cleanly. A business degree requires supporting coursework transcripts to establish the direct relationship.
Search LCA filings by SOC code
Analytics Engineer roles typically file under SOC 15-1243 (Database Architects) or 15-1299. Use the OFLC Wage Search to filter by SOC code and find employers who have certified LCAs for this exact role type, not just tech roles broadly.
Target employers with dbt or Spark in job postings
H-1B sponsors for Analytics Engineers concentrate in data-intensive industries. Employers posting dbt, Apache Spark, or Airflow requirements have built data infrastructure teams that routinely sponsor H-1B workers and understand the filing timeline.
Find verified H-1B sponsors on Migrate Mate
Filter Analytics Engineer roles by H-1B sponsorship history on Migrate Mate. Each listing shows verified DOL filing data so you can confirm an employer has actually sponsored this role before, not just marked a checkbox on a job posting.
Clarify prevailing wage level before offer negotiation
Your LCA must certify your wage at Level I through Level IV. Analytics Engineers offered below the prevailing wage for your metro area will have their LCA denied. Check the OFLC Wage Search for your SOC code and work location before you receive an offer.
Analytics Engineer jobs are hiring across the US. Find yours.
Find Analytics Engineer JobsAnalytics Engineer H-1B Visa: Frequently Asked Questions
Does an Analytics Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. USCIS treats Analytics Engineer as a specialty occupation because the role requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or data engineering. Employers strengthen the petition by documenting that the position's core duties, including data modeling and pipeline architecture, require that specific theoretical and technical knowledge.
Which SOC code do employers typically use when filing an H-1B LCA for an Analytics Engineer?
Most employers file under SOC 15-1243 (Database Architects) or 15-1299 (Software Developers and Engineers, All Other). The SOC code determines the prevailing wage level DOL certifies on the LCA. You can verify which codes employers in your target industry have used by searching the OFLC Wage Search before your offer stage.
How do I find Analytics Engineer employers who have sponsored H-1B workers before?
Migrate Mate filters Analytics Engineer roles by verified DOL LCA filing history, so you can see which employers have actually sponsored this role type rather than relying on self-reported sponsorship willingness. Prior LCA filings in your role category indicate that the employer has an established immigration process and understands the timeline.
Can an employer sponsor my H-1B for a fully remote Analytics Engineer role?
Yes, but the LCA must list every location where you'll work, including your home address if you work remotely from a different metro area than the employer's headquarters. DOL requires the prevailing wage to reflect your actual work location, not the employer's office. If you move cities, the employer may need to file an amended LCA and an H-1B amendment petition.
What happens to my H-1B status if I change roles from Analytics Engineer to a different data title at the same employer?
A material change in job duties, SOC code, or work location triggers an H-1B amendment requirement. Moving from Analytics Engineer to Data Scientist or Staff Engineer often changes the SOC code, which requires a new LCA and amended I-129 before you start the new role. Confirm with your employer's immigration counsel whether the change is material before accepting an internal transfer.
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