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Software Engineer, Data Developer Platform

Remote / Online - Candidates ideally in
Seattle, King County, Washington, 98127, USA
Listing for: Whatnot
Remote/Work from Home position
Listed on 2026-10-25
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
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 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 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 Dev Ops/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 Developer Platform, you should have 8+ years of experience, plus:

  • Track record of building scalable, high-performance distributed systems

  • Strong experience with orchestration platforms (e.g., Airflow, Dagster, or Temporal), with particular strength in building or evolving the platform layer itself, not just downstream pipelines.

  • 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, Big Query, 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 Dev Ops/SRE practices and CI/CD tooling, including Git Hub and Git Hub Actions

  • Understanding of data governance and compliance principles (e.g., data access controls, retention policies, auditability)

In addition to these role-specific…

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