Data Engineer

Work in a fast growing startup with unlimited opportunity and lots of room for growth and advancement. We’re on a mission to simply residential real estate transactions nationwide by bringing world-class software, data science, and design to an age-old industry.

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

We’re looking for teammates who bring:

• 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

We value Openness

         Our team celebrates our diverse backgrounds, being open about who we are and what we do allows us to be better. Individuals seeking employment with us are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.