
Real Estate • eCommerce • B2C
Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
5001 - 10000 employees
Founded 2006
🏠 Real Estate
🛍️ eCommerce
👥 B2C
💰 $4.1M Post-IPO Equity on 2012-12
3 hours ago
🏄 California – Remote
⛰️ Colorado – Remote
+14 more states
💵 $160.9k - $257.1k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor

Real Estate • eCommerce • B2C
Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
5001 - 10000 employees
Founded 2006
🏠 Real Estate
🛍️ eCommerce
👥 B2C
💰 $4.1M Post-IPO Equity on 2012-12
• Process hundreds of millions of data points to produce macroeconomic housing market indicators • Work closely with data science and forecasting teams to reshape data products • Collaborate on developing and maintaining scalable data products and pipelines • Identify and implement internal process improvements
• 5+ years of experience in Big Data Engineering or Machine Learning Engineering roles • Strong proficiency in Python programming • Hands-on experience with big data ecosystems and architectures, including AWS cloud data services • Practical experience with SparkSQL and Spark Streaming, PostgreSQL, EKS, and Kubernetes • Familiarity with Agile/DevOps processes and tools such as GitLab and CI/CD • A good understanding of data science concepts and fundamental machine learning algorithms • Exceptional communication skills • Strong problem-solving skills
• Competitive base salary • Equity awards based on experience, performance and location • Opportunity to work in a fun, collaborative atmosphere
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