Senior Software Development Engineer, Big Data

About the team The Zillow Group’s Housing Trends Data Engineering team brings innovative analysis, creativity, and excellence to the U.S. housing market. We create, productionalize, analyze, and share a full collection of housing metrics and analysis for Zillow’s internal and external customers. Our work contextualizes Zillow’s unparalleled living database of all homes and hundreds of millions of customers to provide insight to everyday consumers and open data to hundreds of researchers and policymakers across the country. You’ll work in a fun, collaborative atmosphere with a high-performance team with diverse data engineering and analytical skills. Your work will be highly impactful. The data we create ends up in the nation’s most reputable publications, used by government institutions in policy-making and official reports, in public-facing tools used by millions of Zillow consumers, and in the work of hundreds of academic researchers. Small team = big impact. Engineering teams are highly decentralized in order to create the small team speed and autonomy of a start-up environment but are backed by big company resources. About the role We process hundreds of millions of data points to produce macroeconomic housing market indicators, forecasts, and insights. We publish those so businesses, policymakers, and individuals can make informed decisions about homes. We are also an integral part of housing market intelligence for our internal businesses, and an important input into tactical and strategic business decisions with customers across the company (from marketing, finance, business unit ML teams, to executives). We are looking for a strong engineer who will be working closely with the data science and forecasting teams, and our customers to help us re-shape our rapidly-evolving data products and the end-to-end data processing framework. You will have great opportunities to learn cutting-edge ecosystems, and cloud technologies, and work with a group of versatile software developers in a collaborative and supportive team environment. This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $160,900.00 - $257,100.00 annually. This base pay range is specific to these locations and may not be applicable to other locations. In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $152,900.00 - $244,300.00 annually. The base pay range is specific to these locations and may not be applicable to other locations. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside. Who you are Key Qualifications: Strong proficiency in Python programming Hands-on experience with big data ecosystems, architectures and modern data platforms, including AWS cloud data services and Lakehouse/Lakebase platforms Hands-on experience with Databricks is a significant advantage. Proven ability to design, build, and orchestrate batch and real-time data pipelines, processing large-scale datasets from diverse sources Practical experience with cutting-edge data engineering technologies such as SparkSQL and Spark Streaming, PostgreSQL, EKS, and Kubernetes Familiarity with Agile/DevOps software development processes and tools such as GitLab and CI/CD. A good understanding of data science concepts, fundamental machi ... (truncated, view full listing at source)