In this role, you will help shape the data layer behind Voyager, Zillow AI mode, by building high-scale data products that make trace and event data usable for analytics, evaluation, observability, and future learning systems. This role is a strong fit for an engineer who wants to improve AI quality, solve complex data platform challenges, and help define how AI system data is managed and used across Zillow.
You Will Get ToBuild and operate scalable data platforms and shared data products that power Zillow’s next generation of AI experiences, especially Voyager / Zillow AI mode.
Own and evolve trace and event data foundations that support analytics, online and offline evaluation, observability, governance, and future learning workflows.
Design and operate production-grade batch, streaming, and near-real-time data pipelines using Databricks, Spark, Python, SQL, and modern lakehouse patterns.
Improve platform reliability through schema management, data quality validation, alerting, anomaly detection, and production support for business-critical AI data products.
Partner with engineering, analytics, and science teams to turn evolving AI data needs into reusable infrastructure and governed data products.
Help define the long-term architecture for AI data systems, including data contracts, eventing patterns, retention approaches, and cleaner downstream interfaces.
You have 5+ years of experience in big data engineering, data platform engineering, machine learning engineering, or a closely related field.
You bring strong proficiency in Python and SQL and have experience building production-grade data systems on distributed platforms such as Databricks and Spark.
You have designed and operated scalable batch, streaming, or near-real-time pipelines and datasets for analytics, observability, and AI or ML use cases.
You have experience supporting ML, LLM, or agentic AI systems in production through high-quality data products, governance, and operational rigor.
You are comfortable working with complex, high-volume event, telemetry, trace, or log-style datasets and with modern architecture patterns such as streaming, incremental processing, data contracts, or lakehouse design.
You have improved production reliability through schema evolution, ingestion safeguards, monitoring, alerting, root-cause analysis, and operational ownership.
You communicate clearly and collaborate effectively across engineering, analytics, science, evaluation, and platform teams in fast-moving environments.
Experience with technologies and practices such as Kafka, Spark Structured Streaming, MLflow, OpenTelemetry, CI/CD, and Git-based workflows is a plus.
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
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 customers 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 that's reshaping an industry and helping more people make home a reality.
Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 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 history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills Required
- 5+ years of experience in big data engineering, data platform engineering, machine learning engineering, or a closely related field.
- Strong proficiency in Python.
- Strong proficiency in SQL.
- Experience building production-grade data systems on distributed platforms such as Databricks and Spark.
- Designed and operated scalable batch, streaming, or near-real-time pipelines and datasets for analytics, observability, or AI/ML use cases.
- Experience supporting ML, LLM, or agentic AI systems in production through high-quality data products, governance, and operational rigor.
- Experience working with complex, high-volume event, telemetry, trace, or log-style datasets and lakehouse architecture patterns.
- Proven ability to improve production reliability via schema evolution, ingestion safeguards, monitoring, alerting, root-cause analysis, and operational ownership.
- Clear communication and effective collaboration with engineering, analytics, science, evaluation, and platform teams.
- Experience with Kafka, Spark Structured Streaming, MLflow, OpenTelemetry, CI/CD, and Git-based workflows.
Zillow Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zillow and has not been reviewed or approved by Zillow.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, and robust mental-health resources with coaching and app-based support. Wellness reimbursements and wellbeing tools reinforce a strong emphasis on overall health.
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Parental & Family Support — Parental benefits are noted as fully paid and expansive, including bonding leave, ramp-back options, and a new-baby stipend. Additional family-forming support such as fertility coverage, adoption/surrogacy assistance, breast milk shipping, and backup childcare deepens this strength.
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Flexible Benefits — A distributed-first work model offers broad location flexibility, with home-office support and short-term international work options. This flexibility pairs with generous PTO, holidays, sick leave, and a sabbatical program as key parts of the total package.
Zillow Insights
What We Do
Join our mission to give the people power to unlock life’s next chapter. Our homes are the heartbeat of our lives, and we believe that finding a home shouldn’t be so hard in today’s always-on world. That’s why we’re reimagining the traditional rules of real estate to make it easier than ever to move from one home to the next. Our journey began nearly 15 years ago with a handful of employees and one big idea: to make it radically easier for people to move. We began by helping people understand and track their homes with the Zestimate, our proprietary algorithm, and then with advanced technology and valuable connections with real estate professionals. Today, Zillow has become a household name. People are more likely to search for “Zillow” than “real estate,” and our name is often used as a verb. While other industries have ushered in a new era of convenience, the time for seamless and convenient real estate experience is now. This is our next chapter as a company. We’re looking for smart, passionate adventurers to join us as we reimagine the real estate transaction and change the way people buy, sell, rent and finance their homes.
