real-estate e-commerce
San Francisco, CA

Data Engineer

About Opendoor At Opendoor, we’re on a mission to make it simple to buy and sell homes. The traditional process is broken, with an average home taking over 90 days to sell and costing thousands of dollars. We make buying and selling a home stress-free and instant. We’ve built an exceptional team, have raised over $300 million from top-notch investors and are growing fast, buying and selling more than $100 million of homes per month. We’re seeking an exceptional Data Engineer to work on data products at the core of our company's business. Our valuation model, predictive modeling infrastructure, and customer-facing information dashboards are deeply reliant on your work. Day to day, you'll develop systems that ingest, sanitize and normalize diverse datasets into meaningful structured data for analysts, scientists and engineers. You’ll also build expressive APIs and performant services that serve this data both internally and externally.
  • Develop data infrastructure to ingest, sanitize and normalize a diverse set of entities pertinent to the real-estate market
  • Build performant and expressive interfaces to the data
  • Increase the fidelity and amount of metadata we have about each entity, as well as the connections between these entities
  • Monitor the quality of our geo platform and reduce duplicate entities
  • Collaborate with Data Scientists to derive features that improve our pricing models
  • Become a domain expert in real-estate
  • Experience building data pipelines from disparate sources
  • Familiarity with basic classes of ML algorithms, concepts in entity resolution and feature extraction
  • An understanding of databases and large-scale data processing frameworks
  • A resourceful and pragmatic approach, not dogmatic or overly academic
  • Experience working with geodata
  • You love delighting customers with honest, transparent products and experiences
  • Work with this stack