This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Zillow’s Comprehensive Customer Data team is part of the Data Engineering organization and works closely with multiple product and analytics organizations. You will contribute to the design and implementation of data engineering solutions that support AI, Marketing, and Data Science teams in their effort to improve Zillow’s products for customers.
Job Responsibility
Design, implement, and take ownership of mission-critical data pipelines and data products
Collaborate with various internal teams (platform, product, other stakeholders) to scope and deliver tools ensuring ease of system use
Carefully review specifications, designs, pull requests and provide constructive/helpful feedback
Write high-quality code, refactor and optimize code for better scalability, performance, and readability
Integrate new frameworks, libraries, technologies, and components into codebase
Proactively log/collect and review metrics, monitor, alert and address issues quickly
Ensure the consistency and maintainability of existing applications adhering to standards/procedures for implementing technical solutions
Execute production/support tasks according to a documented schedule that meets or exceeds customer expectations
Support and mentor teams through design, implementation and deployment of solutions using relevant technologies
Mentor junior engineers
Identify and influence opportunities to improve overall architecture to adapt and grow with changing business needs
Facilitate engineering discussions with business stakeholders, data analysts, data scientists, product managers, designers, and other stakeholders to understand business needs and translate them into technical requirements
Own and lead the design of new features
Requirements
A degree (BS+) in Computer Science or a related discipline
5+ years of experience with building and maintaining data-intensive applications
Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability
Experience with modern data technologies (Spark, Flink, Kafka, Airflow)
Strong background in Java or Python
Excellent interpersonal skills and passionate about collaborating across organizational boundaries
Nice to have
Experience working with cloud services (AWS/Azure/GCP)
Experience with Databricks
What we offer
competitive base salary and benefits
equity awards based on factors such as experience, performance and location