Senior Staff Data Engineer Jobs in USA with Visa Sponsorship
Senior Staff Data Engineer roles attract H-1B visa, O-1, and L-1 visa sponsorship from tech, finance, and healthcare employers. At this seniority level, employers routinely sponsor because replacing this expertise is harder than filing the petition. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Faire
Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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 that small businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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 this role
Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
What you’ll do
- Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing skills.
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.
Salary Range
San Francisco: the pay range for this role is $268,000 to $368,500 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
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
- We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
- We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
- We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
- We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
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.
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.
About Faire
Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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 that small businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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 this role
Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.
This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.
Within the Platform group:
- The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
- The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
The teams also own relationships with relevant technology infrastructure vendors.
Additionally, this role would influence and interact with all data and analytics related functions at Faire. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.
We’re looking for: An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands-on development.
What you’ll do
- Plan and execute on technology projects that scale with Faire’s growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
- Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals.
- Provide technical guidance and mentorship on the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
Qualifications
- Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
- Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
- Strong SQL and Python skills and experience.
- Data warehousing experience at Petabyte scale.
- Snowflake, Airflow, Spark experience especially valuable.
- Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs.
- Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
- Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model.
- Excellent communication, leadership, and influencing skills.
- A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
- Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.
Salary Range
San Francisco: the pay range for this role is $268,000 to $368,500 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.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
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
- We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
- We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
- We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
- We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
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.
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.
See all 360+ Senior Staff Data Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Staff Data Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Staff Data Engineer
Target employers with established H-1B track records
Companies that have filed H-1B petitions for data engineering roles in prior years are far more likely to sponsor again. Consistent filing history signals an internal process, legal counsel on retainer, and leadership buy-in for international hires.
Position your seniority as the sponsorship justification
Staff and Senior Staff titles signal specialized expertise that's genuinely hard to source domestically. Frame your experience around proprietary systems, large-scale architecture, and cross-functional leadership, which strengthens the specialty occupation argument in the H-1B petition.
Raise the visa conversation after demonstrating value
Bring up sponsorship after a technical screen or take-home, not in the first outreach. At this level, hiring managers have budget flexibility, but they need confidence in the hire before committing to the legal and administrative overhead of a petition.
Ask specifically about cap-exempt employers
Universities, research institutions, and affiliated nonprofits are exempt from the H-1B lottery cap. Senior Staff Data Engineers at these organizations can receive H-1B approval year-round without competing in the annual lottery, which is a meaningful advantage.
Clarify whether the LCA covers your actual work location
If you're working remotely from a state different from the employer's listed address, the Labor Condition Application must reflect your physical work location. Mismatches can create compliance issues at renewal or during an RFE, so confirm this before accepting an offer.
Senior Staff Data Engineer jobs are hiring across the US. Find yours.
Find Senior Staff Data Engineer JobsFrequently Asked Questions
Which visa types do Senior Staff Data Engineers typically get sponsored for?
H-1B is the most common path. Data engineering at the Senior Staff level qualifies as a specialty occupation because the role requires at minimum a bachelor's degree in computer science, information systems, or a closely related field. O-1A is viable for engineers with documented impact, patents, published work, or industry recognition. L-1A or L-1B apply if you're transferring from an overseas office of the same employer.
Does a Senior Staff Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, consistently. USCIS has approved H-1B petitions for data engineering roles across thousands of employers. The key requirement is that the position genuinely requires a specific bachelor's degree or higher, not just any degree. Senior Staff roles typically involve distributed systems, data architecture, or pipeline design at scale, which supports the specialty occupation argument clearly. USCIS RFEs on these petitions are relatively uncommon compared to more ambiguous titles.
Does my degree field matter for H-1B sponsorship as a data engineer?
Yes. The degree needs to relate directly to the role. Computer science, software engineering, data science, mathematics, and statistics all support a strong petition. If your degree is in an unrelated field, your employer's attorney will need to build the case around equivalent experience, which requires three years of relevant work experience for every year of missing education. A mismatch doesn't automatically disqualify you, but it adds complexity to the petition.
How competitive is H-1B sponsorship for Senior Staff Data Engineers compared to mid-level roles?
More favorable. Employers are more willing to absorb the cost and administrative effort for Senior Staff hires because the role is harder to backfill. The lottery odds are the same regardless of seniority, but at this level employers are more likely to use premium processing, engage experienced counsel, and respond quickly to RFEs. Cap-exempt employers remain an option worth prioritizing. You can browse Senior Staff Data Engineer roles with confirmed sponsorship on Migrate Mate.
Can I switch employers mid-H-1B as a Senior Staff Data Engineer?
Yes. Under H-1B portability, you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval, as long as your previous H-1B was valid and you're maintaining lawful status. The new employer files a new I-129 petition with an LCA covering your role and location. At Senior Staff level, this process is routine for employers who regularly hire visa holders.
What is the prevailing wage requirement for sponsored Senior Staff Data Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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