About the team :

At Zillow Group, we are constantly innovating ways to operate, monetize, and improve our nationwide real estate marketplace. The Data Science, Analytics and Engineering team supports several lines of business across the company by partnering closely with business leaders and engineering to model, analyze, and surface business relevant metrics that inform both short- and long-term decision-making. Our structure is very flat and you will soon find yourself interacting directly across a wide variety of roles.

About the role :

As a Senior Analytics Engineer, you'll build and own the data models and metric definitions that stakeholders across Zillow depend on for consumer analytics, including marketing, lead generation, and site traffic. You'll build a deep understanding of multiple domains end-to-end and own the way metrics interact across them, all while setting a high bar for the teams engineering standards. You'll write transformation code, implement performant metrics as trusted data products, build data-quality tests, and document your work so people - and increasingly, AI systems - can trust and build on top of the foundation you lay.

You Will Get To :

- Build and maintain dimensional data models and metric definitions using SQL and dbt (or equivalent) to establish metrics-as-code as an enterprise asset

- Design data-quality tests, monitoring, and alerting so your data products are trusted by default

- Partner with data engineering to define upstream requirements and fix data-quality issues at the source

- Work directly with US-based BI analysts, data scientists, and stakeholders to understand what they actually need, not just what they wrote down

- Define and evangelize semantic layer definitions that make metrics usable by BI tools, data scientists, and AI systems alike

- Own multiple data domains end to end, mentor other engineers, and resolve metric governance across teams

Who you are :

- 5+ years of professional data experience, with deep semantic modeling or metric ownership

- Expert SQL, with thought leadership about how grain, joins, and schema evolution affect relational modeling and metric implementation

- Experience with dbt or an equivalent transformation framework, plus Git and CI/CD best practices

- Comfort operating across a large time-zone gap; proactive asynchronous communication, and exercising technical judgment independently

- A track record of evolving how AI systems, conversational analytics tools, and machine learning workflows consume structured data

- In-depth experience with cloud data platforms (Databricks, Snowflake, or similar) and BI tools (Tableau, Looker, or similar)

- Zillow values the experience and perspective of candidates with non-traditional backgrounds - we encourage you to apply if you have transferable skills