Data Architect Data Analytics

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values . With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together.

From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

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.

#Data 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.

Own data architecture end-to-end. Define how we capture, model, and serve critical business data—then implement it in production. 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.

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. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.

Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.

#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.

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.

#ForFull-Time(Salary)

180,000 / yearto$260,000 / year+benefits+equity.

Thisrangeisonlyinclusiveofbasesalary,notbenefits(moredetailsbelow)orequity.

#Generous Holiday and Time off Policy

HealthInsuranceoptionsincludingMedical,Dental,Vision

WorkFromHomeSupport

Homeofficesetupallowance

Monthlyallowanceforcellphoneandinternet

Retirement;401kofferingforTraditionalandRothaccountsintheUS(employermatchupto4%ofbasesalary)andPensionplansinternationally

Monthly allowance to dogfood the app

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!).

~ 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.