Job Description
Whatnot is the largest livestream 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.
💻 RoleData is crucial to Whatnot’s mission to bring people together through commerce.
As our newest Data Engineer you’ll build and scale the systems that power data-driven decisions across the company. You’ll work directly with stakeholders across the business – such as product sales marketing finance and trust teams – to design reliable data architectures ship resilient pipelines and create the foundational data products that power Whatnot’s internal and external growth.
On any given day you will:
Own data architecture end-to-end. Define how we capture model and serve critical business data—then implement it in production. You’ll make architectural decisions around storage formats compute patterns and SLAs that balance cost scalability and consistency.
Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains—user activity transactions experimentation marketing performance and operational telemetry—with tight guarantees for latency completeness and accuracy.
Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics ML and real-time applications. Establish and enforce modeling standards ownership boundaries and data contracts across teams.
Enforce data quality at scale. Build tests lineage monitoring and reconciliation systems that make every dataset observable and every anomaly actionable.
Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services warehouses and external systems.
Enable insights and experimentation. Support analytics ML and product engineering teams by exposing high-quality low-latency data through semantic layers APIs and real-time query systems.
Due to the cross-functional nature of this role candidates will be matched to multiple teams based on need and experience including product analytics or data platforms teams.
👋 You
People who do well at Whatnot tend to be comfortable figuring things out as they go biased toward action and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
Have 3+ years of experience as a data or software engineer building data warehouses distributed data systems or event-driven architectures.
Can design and implement data models using dimensional Data Vault or ledger-style techniques that support analytical and transactional workloads.
Have deep hands-on expertise with modern data tooling across ingestion (e.g. Kafka Debezium) transformation (dbt Spark Flink) orchestration (Dagster Airflow) and observability (Monte Carlo Great Expectations).
Have operated cloud data warehouses such as Snowflake BigQuery or Redshift including schema design cost optimization and workload tuning.
Are comfortable writing production-grade code in Python or SQL languages and integrating with CI/CD and infrastructure-as-code workflows.
Enjoy partnering across disciplines—engineering product analytics—to translate messy business requirements into elegant data systems.
Thrive as a self-starter in a fast-moving environment owning both the technical design and the operational outcomes of your work.
If designing the data backbone that powers Whatnot’s growth insights and product innovation excites you we’d love to meet you.
We offer flexibility to work from home or from one of our global office hubs and we value in-person time for planning problem-solving and connection. Team members in this role must live within commuting distance of our New York Seattle Los Angeles and San Francisco hubs.
💰Compensation
For Full-Time (Salary)
US based applicants: $180000/year to $260000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including level relevant prior experience skills and expertise. This range is only inclusive of base salary not benefits (more details below) or equity.
🎁 BenefitsGenerous 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.
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.
Skills Required
- 3+ years of experience as a data or software engineer
- Experience designing and implementing data models using dimensional Data Vault or ledger-style techniques
- Hands-on expertise with modern data tooling
- Operated cloud data warehouses such as Snowflake BigQuery or Redshift
- Comfortable writing production-grade code in Python or SQL
- Ability to partner across disciplines
- Thrives as a self-starter in fast-moving environments
What the Team is Saying




Whatnot Compensation & Benefits Highlights
- Healthcare Strength—Healthcare is considered comprehensive with multiple plan options through a major carrier and broad ancillary coverage including dental vision life and disability. Employer cost share is described as very high for employees supporting strong affordability.
- Parental & Family Support—Paid parental leave with a structured return and additional childcare and family‑planning allowances provide robust support for growing families. These benefits extend beyond standard offerings and are emphasized as core parts of the package.
- Leave & Time Off Breadth—Flexible PTO is paired with company‑wide winter and summer breaks to create predictable recharge windows. This combination offers both autonomy and coordinated downtime across teams.
Whatnot Insights
What We Do
We bring people together around the things they love and turn their passions into their livelihood.
Why Work With Us
Passion is the centerpiece of our culture. We’ve got passionate buyers sellers and employees. We want you to bring your passions to Whatnot.
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Whatnot Offices
Remote Workspace
Employees work remotely.
Our “office optional” policy lets you work where you’re most productive. With options of working from home in person or a mix of both. We have office hubs within the US UK Ireland Poland and Germany today.
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Date Posted
06/05/2026
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