Data Analyst Jobs at Whatnot with Visa Sponsorship
Data Analyst jobs at Whatnot power decisions across its live commerce platform, from seller behavior to buyer trends. The company has a track record of sponsoring international talent in analytical roles, making it a realistic target if you're on a work visa or transitioning from student status.
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Get Access To All JobsLocation
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
Employment Type
Full time
Department
Engineering Data & Marketplace Integrity
Compensation
* $200K – $275K
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
The Data Platform team at Whatnot builds services that improve our core product experience and unlock meaningful business value. In this role, you will:
- Define technical direction and lead development of critical data platform systems that power next-generation capabilities at Whatnot
- Lead the buildout and evolution of our data orchestration and streaming platforms, helping drive them from early platform investment to production-ready usage across the company
- Design scalable, reliable, multi-tenant data infrastructure rather than simply building pipelines on top of an existing platform
- Own core platform concerns including scalability, performance, reliability, SLOs, and operational excellence for data processing systems
- Build high-quality systems that support real-time analytics, event-driven applications, and machine learning infrastructure needs across Whatnot
- Make key decisions about how data systems should be integrated across Whatnot, and then partner cross-functionally to bring that architecture to life
- Collaborate closely with engineering partners across product, platform, machine learning, and data to enable fast, safe, and scalable development
- Help shape broader company architecture across orchestration, stream processing, real-time systems, analytics, and content understanding
- Apply DevOps/SRE practices, including CI/CD, infrastructure automation, monitoring, and incident response, to keep platform systems reliable at scale
- Help define and enforce data governance and compliance standards across our data lake and downstream systems
You
As our next Software Engineer, Data Platform, you should have 8+ years of experience, plus:
- Ability to write well-tested, API-driven applications and services that run at scale in production
- Track record of building scalable, high-performance distributed systems
- Strong experience with streaming data systems (e.g., Kafka, Flink, or Pulsar) and/or orchestration platforms (e.g., Airflow, Dagster, or Temporal), with particular strength in building or evolving the platform layer itself, not just downstream pipelines
- Hands-on experience designing and operating stateful, real-time data pipelines at scale, including concepts like checkpointing, state management, and watermarking
- Experience evaluating architectural tradeoffs in data processing and orchestration systems, including when a given tool is the right solution and when it is not
- Experience building multi-tenant or end-to-end data infrastructure that supports multiple teams or production use cases
- Expertise in managing cloud data stores (Snowflake, BigQuery, Redshift, etc.) and data lake architectures (e.g., AWS S3) for processing and serving data products
- Strong experience supporting operational systems to ensure uptime, reliability, and maintainability, including monitoring, alerting, and incident management
- Familiarity with DevOps/SRE practices and CI/CD tooling, including GitHub and GitHub Actions
- Understanding of data governance and compliance principles (e.g., data access controls, retention policies, auditability)
In addition to these role-specific qualifications, all engineering team members are expected to have:
- Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (for example, Terraform)
- Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles
- Self-starter ethic, with the ability to thrive under a high level of autonomy
- Exceptional interpersonal and communication skills
Benefits
Generous Holiday and Time off Policy
* Health Insurance options including Medical, Dental, Vision
* Work From Home Support
* Home office setup allowance
* Monthly allowance for cell phone and internet
* Care benefits
* Monthly allowance for wellness
* Annual allowance towards Childcare
* Lifetime benefit for family planning, such as adoption or fertility expenses
* Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
* Monthly allowance to dogfood the app
* All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!)
* Parental Leave
* 16 weeks of paid parental leave + one month gradual return to work company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $200K - $275K
Location
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
Employment Type
Full time
Department
Engineering Data & Marketplace Integrity
Compensation
* $200K – $275K
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Role
The Data Platform team at Whatnot builds services that improve our core product experience and unlock meaningful business value. In this role, you will:
- Define technical direction and lead development of critical data platform systems that power next-generation capabilities at Whatnot
- Lead the buildout and evolution of our data orchestration and streaming platforms, helping drive them from early platform investment to production-ready usage across the company
- Design scalable, reliable, multi-tenant data infrastructure rather than simply building pipelines on top of an existing platform
- Own core platform concerns including scalability, performance, reliability, SLOs, and operational excellence for data processing systems
- Build high-quality systems that support real-time analytics, event-driven applications, and machine learning infrastructure needs across Whatnot
- Make key decisions about how data systems should be integrated across Whatnot, and then partner cross-functionally to bring that architecture to life
- Collaborate closely with engineering partners across product, platform, machine learning, and data to enable fast, safe, and scalable development
- Help shape broader company architecture across orchestration, stream processing, real-time systems, analytics, and content understanding
- Apply DevOps/SRE practices, including CI/CD, infrastructure automation, monitoring, and incident response, to keep platform systems reliable at scale
- Help define and enforce data governance and compliance standards across our data lake and downstream systems
You
As our next Software Engineer, Data Platform, you should have 8+ years of experience, plus:
- Ability to write well-tested, API-driven applications and services that run at scale in production
- Track record of building scalable, high-performance distributed systems
- Strong experience with streaming data systems (e.g., Kafka, Flink, or Pulsar) and/or orchestration platforms (e.g., Airflow, Dagster, or Temporal), with particular strength in building or evolving the platform layer itself, not just downstream pipelines
- Hands-on experience designing and operating stateful, real-time data pipelines at scale, including concepts like checkpointing, state management, and watermarking
- Experience evaluating architectural tradeoffs in data processing and orchestration systems, including when a given tool is the right solution and when it is not
- Experience building multi-tenant or end-to-end data infrastructure that supports multiple teams or production use cases
- Expertise in managing cloud data stores (Snowflake, BigQuery, Redshift, etc.) and data lake architectures (e.g., AWS S3) for processing and serving data products
- Strong experience supporting operational systems to ensure uptime, reliability, and maintainability, including monitoring, alerting, and incident management
- Familiarity with DevOps/SRE practices and CI/CD tooling, including GitHub and GitHub Actions
- Understanding of data governance and compliance principles (e.g., data access controls, retention policies, auditability)
In addition to these role-specific qualifications, all engineering team members are expected to have:
- Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (for example, Terraform)
- Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles
- Self-starter ethic, with the ability to thrive under a high level of autonomy
- Exceptional interpersonal and communication skills
Benefits
Generous Holiday and Time off Policy
* Health Insurance options including Medical, Dental, Vision
* Work From Home Support
* Home office setup allowance
* Monthly allowance for cell phone and internet
* Care benefits
* Monthly allowance for wellness
* Annual allowance towards Childcare
* Lifetime benefit for family planning, such as adoption or fertility expenses
* Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
* Monthly allowance to dogfood the app
* All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!)
* Parental Leave
* 16 weeks of paid parental leave + one month gradual return to work company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $200K - $275K
See all Data Analyst Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analyst Jobs at Whatnot.
Get Access To All JobsTips for Finding Data Analyst Jobs at Whatnot
Frame your portfolio around commerce data
Whatnot operates a live shopping marketplace, so analysts who can demonstrate experience with transaction data, funnel analysis, or marketplace metrics stand out. Build case studies that mirror the problems a retail platform actually faces.
Target roles that match your visa timeline
If you're on F-1 OPT, confirm your STEM extension eligibility before applying. Whatnot sponsors multiple visa types, but the right fit between role seniority and your current status affects how quickly the process can move.
Find open Data Analyst roles on Migrate Mate
Migrate Mate filters Whatnot's open Data Analyst positions by visa type, so you can confirm sponsorship eligibility before applying. Search by the visa types Whatnot sponsors to focus your applications where you're actually a fit.
Ask about LCA filing timing during offers
The Labor Condition Application must be certified by DOL before your H-1B or E-3 petition is filed. When you reach the offer stage, ask the recruiter how long the internal approval and DOL certification process typically takes at Whatnot.
Prepare for SQL and experimentation-heavy interviews
Whatnot's analyst interviews typically involve hands-on SQL and A/B testing scenarios tied to platform growth. Review how live commerce platforms measure seller acquisition, retention, and take-rate to answer case questions in context.
Verify your employer's E-Verify enrollment before accepting
F-1 CPT and OPT authorization requires your employer to participate in E-Verify. Confirm Whatnot's enrollment status through the E-Verify employer search before countersigning an offer, especially if your work authorization depends on it.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Data Analysts?
Yes, Whatnot sponsors H-1B visas for Data Analyst roles. Because H-1B cap-subject petitions are tied to the annual lottery, timing matters. If you're already in H-1B status or transferring from another employer, Whatnot can file a transfer petition year-round without waiting for the next lottery cycle.
How do I apply for Data Analyst jobs at Whatnot?
Apply through Whatnot's careers page or browse their open Data Analyst positions on Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility upfront. Tailor your application to Whatnot's live commerce context, emphasizing experience with marketplace data, product analytics, or growth metrics relevant to a retail platform.
Which visa types does Whatnot commonly sponsor for Data Analyst roles?
Whatnot sponsors a range of visa types for analytical roles, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa, and employment-based Green Cards through EB-2 and EB-3 pathways. The right category depends on your nationality, degree, and current immigration status.
What qualifications does Whatnot expect for Data Analyst roles?
Most Data Analyst openings at Whatnot expect proficiency in SQL, experience with data visualization tools, and a background in product or business analytics. A bachelor's degree in a quantitative field is standard, and experience in e-commerce, marketplace platforms, or consumer technology is a strong differentiator given the live shopping context of the business.
How do I think about the visa filing timeline after receiving an offer?
Timeline depends on your visa type. For H-1B transfers or E-3 petitions, plan for two to four weeks of internal processing before USCIS or consular filing begins. If you're transitioning from OPT, confirm your grace period and any cap-gap coverage with your immigration attorney so there's no gap in your work authorization between your OPT end date and H-1B start date.