Data Engineer
Opendoor San Francisco $130k – $200k Long term Any
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.

Job Description

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. 

As a Data Engineer you will:

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 

Bonus points:

Experience working with geodata 

You love delighting customers with honest, transparent products and experiences 

Opendoor values Openness

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