About the team

You’ll join Zillow’s engineering organization focused on building the scalable data foundations that power analytics, machine learning, and AI-driven experiences across our products. This team designs and operates robust big data platforms, pipelines, and services that help partners across Zillow access trusted, high-quality data to move quickly and make informed decisions. We work collaboratively across engineering, product, and data science, and we value curiosity, craftsmanship, and a shared commitment to creating technology that makes it easier to unlock life’s next chapter.

About the role

The Senior Specialist, Software Engineering, Big Data designs, builds, and optimizes scalable data pipelines and infrastructure that power analytics and AI-driven capabilities across Zillow. This role applies advanced software engineering and big data expertise to create reliable, high-quality data products that enable teams to deliver innovative customer experiences and data-informed decisions.

This role has been categorized as a teleworker position. Teleworkers 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. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

You will get to

• Architect and implement scalable, secure, and observable data pipelines and services that collect, process, and store large, diverse data sets to support analytics, machine learning, and product use cases.
• Design and optimize data models, storage patterns, and processing frameworks to meet performance, reliability, and cost objectives for high-volume, real-time, and batch workloads.
• Lead technical design reviews, code reviews, and best-practice guidance for Big Data solutions, mentoring engineers on topics such as data quality, resiliency, and operational excellence.
• Collaborate with product, analytics, data science, and platform engineering teams to translate business and modeling requirements into robust, production-grade data solutions and APIs.
• Implement and maintain automated testing, monitoring, and alerting for data services, proactively improving reliability, data quality, and incident response.
• Evaluate and introduce new big data technologies, tools, and patterns to improve developer productivity, platform scalability, and end-to-end data lifecycle management.
• Document data flows, interfaces, and operational runbooks, and contribute to shared standards and patterns for Big Data engineering across the organization.
   

Who you are

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of experience in software engineering with a focus on building and operating data-intensive or distributed systems.
• Expert level proficiency in SQL and Python
• Strong experience with Big Data technologies, including Spark/Flink, and cloud platforms like AWS and Databricks.
• Experience designing, implementing, and supporting production data pipelines and platforms using modern big data, streaming, and/or cloud-native technologies.
• Experience collaborating with cross-functional partners (e.g., product, analytics, and data science) to deliver scalable data solutions that support business, analytics, and AI needs.
• Or an equivalent combination of education and experience.

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 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.