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Salary
≈ $20k – $40k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026. Zillow scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Zillow Group is a Seattle-headquartered online real estate marketplace whose apps and websites let people search homes for sale and rent, estimate property values with the Zestimate and connect with agents, lenders and landlords. Founded in 2006 by former Microsoft and Expedia executives including Rich Barton and Lloyd Frink, the Nasdaq-listed company also runs Zillow Home Loans, Zillow Closing, rentals and advertising businesses, with engineering teams in Bengaluru and Mexico City. It recruits software and machine learning engineers, data scientists, product managers, mortgage loan officers, underwriting and closing staff, and sales and marketing specialists.

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.

Zillow Group is a strategic, mission-driven organization focused on delivering exceptional experiences and measurable outcomes. Our work spans cross-functional partnership, scalable programs and operational excellence in support of Zillow’s mission. We bring deep experience working across diverse teams in a dynamic, high-growth environment, balancing strategic thinking with hands-on execution to drive meaningful business impact. We are seeking an experienced professional to support our workforce expansion in India.

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 team’s 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
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

  • 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

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.

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