Senior Analytics Engineer

About the team

The Data team at Zillow turns complex data into insights, models, and data products that help power smarter decisions across the business. As part of our broader Data Analytics and Insights organization, this team partners closely with product, engineering, and business leaders to solve meaningful problems, improve the quality and usability of our data, and build scalable solutions that create impact for customers and employees alike. Together, we foster a collaborative, inclusive environment where curiosity, analytical rigor, and a passion for impact help shape how Zillow works and grows.

About the role

As an Analytics Engineer, you are responsible for building the trusted, governed, and scalable data models and metrics that underpin how the company measures its business and makes decisions. You translate raw data into well-structured analytical assets that serve dashboards, self-service tools, data science workflows, and increasingly, AI-powered analytics interfaces.

You will get to

• •Lead the design, development, and maintenance of trusted, scalable analytical data products, including reusable data models, standardized metrics, and semantic layer components that support business intelligence, self-service analytics, data science, and AI-powered interfaces.
• •Translate complex business requirements into well-structured data models and precise metric definitions, ensuring business logic is implemented in the appropriate layer and applied consistently across teams and analytical surfaces.
• •Partner with Data Engineering, Data Science, Business Intelligence, Product Management, and business stakeholders to prioritize analytics engineering initiatives, define technical requirements and data contracts, and manage cross-team dependencies.
• •Drive improvements in data quality, governance, discoverability, and documentation through automated validation, clear metadata, consistent metric definitions, and proactive resolution of data issues.
• •Build, optimize, and operate reliable last-mile data transformation pipelines using version control, code review, CI/CD, automated testing, monitoring, and alerting to reduce manual effort and improve maintainability.
• •Mentor and coach teammates on data modeling and engineering best practices, contribute to analytics engineering standards and roadmap decisions, and enable stakeholders to confidently use governed data products.

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 $151,700.00 - $242,300.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.

In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $144,100.00 - $230,300.00 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

• •Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Business, or a related field.
• •5+ years of experience in analytics engineering, data engineering, business intelligence, or a closely related field, working with large datasets to develop reliable analytical data models and data products.
• •Demonstrated experience owning analytical data products across multiple data domains end-to-end and independently solving complex data modeling and metric definition challenges.
• •Proven ability to lead cross-functional workstreams, translate business needs into technical specifications, prioritize competing requests, and manage multiple projects and upstream dependencies in alignment with team and business goals.
• •Deep proficiency in SQL, data transformation frameworks such as dbt or equivalent, and analytical modeling approaches, including dimensional, denormalized, and entity-relationship models, with sound judgment about granularity, aggregation, reuse, and business logic placement.
• •Experience working in online data lakehouses like Databricks or Snowflake and proficiency in Git
• •Strong experience applying software engineering and operational practices to analytics workflows, including version control, CI/CD, code review, automated testing, data quality checks, monitoring, and root-cause analysis, with the ability to improve team standards and reliability.
• •Experience designing and maintaining semantic layer components, metrics-as-code, and metadata for multiple consumers, with an understanding of data governance and how BI tools, data science workflows, and AI-powered interfaces interpret metric definitions.
• •Ability to communicate technical trade-offs clearly, align stakeholders on shared metric definitions, write concise self-service documentation, and mentor teammates on modeling and engineering best practices.
• •Experience using AI-assisted coding tools with the judgment to validate generated SQL, transformation logic, and documentation, prevent duplicated or inconsistent business logic, and independently explain and defend your design decisions.

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.

How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they’re most productive—enabling us to move fast, stay connected and deliver on our people promise.

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 an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal hist