Data Analytics Engineer Jobs at Whatnot with Visa Sponsorship
Data Analytics Engineer jobs at Whatnot power its live commerce and marketplace platform, working with large-scale transaction and behavioral data. The company has a track record of sponsoring international talent across multiple visa categories, making it a realistic target for work-authorized job seekers in data.
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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 Analytics Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Whatnot
Frame your portfolio around commerce data
Whatnot operates a live-shopping marketplace, so projects involving real-time event pipelines, seller behavior analysis, or transaction data will resonate far more than generic BI work. Tailor your portfolio before applying.
Clarify your visa status early in screening
Whatnot sponsors several visa categories, but not every recruiter knows which apply to your situation. State your status and what sponsorship you need in your first message so the right hiring stakeholder is looped in from the start.
Target roles requiring dbt and warehouse-native tooling
Whatnot's data stack leans on modern analytics engineering patterns. Job listings referencing dbt, BigQuery, or Snowflake signal active teams where a Data Analytics Engineer with those tools will move faster through technical screens.
Understand PERM timing before accepting an offer
If Green Card sponsorship is part of your long-term plan, ask during the offer stage whether Whatnot initiates PERM for this role level. DOL's PERM process can take 12 to 18 months, and starting the conversation late creates unnecessary gaps.
Prepare credential equivalency documentation in advance
H-1B specialty occupation approval requires your degree to align directly with the Data Analytics Engineer role. If your degree is from outside the U.S., have a credential evaluation from a NACES-approved service ready before USCIS petition filing begins.
Use Migrate Mate to find open Data Analytics Engineer roles at Whatnot
Filtering by visa type and employer on Migrate Mate lets you confirm which roles at Whatnot are currently open to sponsored candidates, saving you time on applications that won't go anywhere due to sponsorship eligibility.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Data Analytics Engineers?
Yes, Whatnot sponsors H-1B visas for Data Analytics Engineers. The role qualifies as a specialty occupation under USCIS guidelines because it requires a bachelor's degree or higher in a directly related field such as computer science, statistics, or information systems. If you're already in H-1B status with another employer, Whatnot can file an H-1B transfer, letting you start work as soon as USCIS receives the petition.
How do I apply for Data Analytics Engineer jobs at Whatnot?
You can find and apply for Data Analytics Engineer openings at Whatnot through Migrate Mate, which filters roles by sponsorship eligibility so you can confirm the position is open to your visa type before applying. When you apply, highlight experience with large-scale data pipelines and analytics engineering tools. Expect a technical screen focused on SQL, data modeling, and your approach to working with transactional or behavioral datasets.
Which visa types does Whatnot typically sponsor for Data Analytics Engineer roles?
Whatnot sponsors several visa categories for this role, including H-1B, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for current students and recent graduates, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, education level, and where you are in your career. Confirming which applies to your situation before the offer stage saves significant back-and-forth.
What qualifications does Whatnot expect for a Data Analytics Engineer?
Whatnot generally expects a bachelor's degree in a quantitative field such as computer science, mathematics, or data engineering, combined with hands-on experience building and maintaining data models in a production environment. Proficiency with SQL and a modern transformation tool like dbt is common across postings. Given Whatnot's marketplace context, experience with event-level data, funnel analysis, or seller and buyer behavior data is a meaningful differentiator in the interview process.
How do I time my application around the H-1B cap and OPT expiration?
If you're on F-1 OPT, the H-1B cap-subject filing window opens April 1 each year for an October 1 start date. USCIS registration typically runs in March. If your OPT expires before October 1, a timely H-1B filing with a receipt notice keeps you in authorized status through the cap-gap period. Starting the conversation with Whatnot's recruiting team well before March gives the employer time to prepare the petition without rushing.