Analytics Engineer Jobs at Whatnot with Visa Sponsorship
Analytics Engineer jobs at Whatnot involve building the data infrastructure behind its live commerce platform, working across pipelines, modeling, and product analytics. The company has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from OPT through to permanent residency pathways.
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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 Analytics Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Analytics Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding Analytics Engineer Jobs at Whatnot
Frame your dbt and warehouse experience clearly
Whatnot's analytics engineering work centers on dbt, Snowflake or BigQuery, and product data modeling. Before applying, make sure your resume explicitly names the tools and frameworks you've used, not just the outcomes. Generic 'data engineering' language won't surface in their technical screens.
Target roles tied to live commerce metrics
Whatnot's core analytics needs revolve around real-time seller and buyer behavior on its live shopping platform. Positioning your experience around event-driven data, funnel analysis, or marketplace metrics makes your application more directly relevant than general retail analytics background.
Confirm E-3 or TN eligibility before your offer stage
If you're Australian or Canadian, Whatnot's sponsorship of E-3 and TN visas means you can bypass the H-1B lottery entirely. Nail down your visa category eligibility before you receive an offer so you can discuss timelines confidently without delaying the process.
Understand F-1 OPT STEM extension timing for this role
Analytics Engineer roles typically qualify for the 24-month STEM OPT extension. If you're on OPT, your employer must be enrolled in E-Verify, which Whatnot supports. File your STEM extension application at least 90 days before your initial OPT expires to avoid a work authorization gap.
Ask about PERM sponsorship during offer negotiation
If your goal is a Green Card, ask specifically whether Whatnot initiates PERM labor certification for this role and what the typical timeline looks like. EB-2 and EB-3 PERM filings can take one to three years before you even reach the priority date queue, so starting early matters.
Use Migrate Mate to find open Analytics Engineer roles
Whatnot posts Analytics Engineer openings across different product and data teams, and availability shifts regularly. Use Migrate Mate to filter open roles by visa type so you're only applying to positions actively open to sponsorship candidates, not wasting applications on listings that exclude international hires.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Analytics Engineers?
Yes, Whatnot sponsors H-1B visas for Analytics Engineer roles. Because H-1B approval depends on the annual lottery, candidates on OPT are often already employed at Whatnot when their employer files the H-1B petition in April. If you're not selected in the lottery, Whatnot's sponsorship of E-3 visa and TN visas offers alternative paths for eligible nationals.
How do I apply for Analytics Engineer jobs at Whatnot?
Applications go through Whatnot's careers page, where roles are listed by team and function. The interview process typically includes a technical screen covering SQL and data modeling, a take-home or live coding exercise using dbt or similar tooling, and a systems design round. Use Migrate Mate to browse currently open Analytics Engineer roles at Whatnot that explicitly support visa sponsorship.
Which visa types does Whatnot support for Analytics Engineer candidates?
Whatnot sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3 for this role. Australians and Canadians often find the E-3 and TN routes faster because they avoid the H-1B lottery. F-1 candidates in STEM fields can typically extend OPT for an additional 24 months, provided Whatnot is enrolled in E-Verify.
What qualifications does Whatnot expect for Analytics Engineer roles?
Whatnot looks for hands-on experience with dbt, a cloud data warehouse like Snowflake or BigQuery, and strong SQL skills. Familiarity with product analytics, event tracking, and building data models for a two-sided marketplace is a clear advantage given the platform's live commerce focus. A background in computer science, statistics, or a related quantitative field supports the specialty occupation standard required for H-1B and E-3 petitions.
How do I plan my timeline if I need Whatnot to file an H-1B petition?
H-1B registrations open in March each year for an October 1 start date. If you're on OPT, you'll need to be working at Whatnot before April and have your employer submit the registration on your behalf. USCIS notifies selected registrants by late March, and petitions are typically filed by June. If you're not selected, explore whether your role qualifies under E-3 or TN as a fallback.