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đ 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. đ» Role Data is crucial to Whatnotâs mission to bring people together through commerce. As our newest Data Engineer , youâll build and scale the systems that power data-driven decisions across the company. Youâll work directly with stakeholders across the business â such as product, sales, marketing, finance, and trust teams â to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnotâs 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 dataâthen implement it in production. Youâll 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 domainsâuser activity, transactions, experimentation, marketing performance, and operational telemetryâwith 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. đ 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 disciplinesâengineering, product, analyticsâto 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 Whatnotâs growth, insights, and product innovation excites you, weâd 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. đ°Compensation For Full-Time (Salary) US based applicants: $180,000/year to $260,000/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. đ 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. đ 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: $180K - $260K
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not aloneâbut this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer adsâ117,837 of themâhave the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story readyânot a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.