Analytics Engineer

About the role

As an 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 work with your team and your stakeholders within business domains to create and manage the metrics that drive day-to-day operations and strategic priorities. 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)
• 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
• Contribute to semantic layer definitions that make metrics usable by BI tools, data scientists, and AI systems alike

This role has been categorized as an Office position. “Office” employees regularly work at the Zillow India office for approximately 80 to 100 percent of their time each month. Employees must live within a reasonable commuting distance of the office. Zillow has not defined a reasonable distance, and expects employees will use judgment in determining this for themselves and understand the implications re: time commitment and cost of daily commute.

Who you are

• 2+ years of professional data experience, with metrics-as-code and semantic modelling preferred
• Strong SQL, with understanding of 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 basics
• Comfort operating across a large time-zone gap; proactive asynchronous communication
• A track record of evolving how AI systems, conversational analytics tools, and machine learning workflows consume structured data
• Familiarity 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

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.

If you have a disability or special need that requires accommodation during the recruitment process, please contact your recruiter directly.

Qualified applicants will be considered for employment in accordance with applicable law.