Senior Software Development Engineer, Big Data
ZillowMexico CityPosted 7 April 2026
Job Description
About the team
At Zillow Group, data is one of our most valuable assets to understand and support our customers to unlock life’s next chapter. The Data Platform organization enables teams across Zillow Group to unlock potential behind that data efficiently and securely.
The Data Lifecycle Management Team provides guardrails for security, privacy, and data quality ensuring that the data infrastructure and processes adhere to industry standards and best practices. In addition to the Data Platform Governance team, the senior software development engineers collaborate closely with two other development teams within the Data Platform organization.
About the role
This role will be responsible for developing and supporting data platform infrastructure. They utilize data technologies such as Spark, Hive, Airflow, Databricks, Kafka, Flink, and other industry and internal tools.
Will collaborate to provide Data Platform Environments that empower internal Zillow Group customers to deliver high-quality data solutions that create trust and delight our customers.
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 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
Collaboration and Leadership:
Collaborate with cross-functional team members and data scientists to understand their requirements and provide solutions.
Passion and experience mentoring junior data engineers.
Continuous Learning:
Enthusiasm for continuous learning and staying updated with the latest trends and technologies in the data engineering field.
Proactive in exploring new tools and techniques to enhance data platform systems capabilities.
General Requirements:
Experience in software development with one or more programming languages such as Python, Java, C, etc..
Proficiency in developing and supporting services with cloud infrastructure such as AWS.
Experience with and ability to debug/troubleshoot container orchestration platforms like Kubernetes.
Experience with data infrastructure systems like Databricks, Spark, Hive, Airflow, Trino, Kafka, and Flink.
Experience in setting up and optimizing data pipelines
Experience in developing scalable processes for supporting multiple user groups and teams.
Familiarity and Experience with running on-call operational responsibilities for data platform systems
Databricks experience is a plus.
Experience with Data Governance & Compliance (CCPA/CPRA, GDPR, SOX, etc) is a plus
Transferable Skills:
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.
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 ... (truncated, view full listing at source)
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