About the team
The Transactions Data Warehouse team at Zillow is a member of the Analytics Data Engineering organization and works closely with product, analytics, and AI teams. In this role, you will lead the design and implementation of data engineering solutions that provide data for AI, Machine Learning and LLM solutions built by our AI and Data Science teams. This team and role is vital in supporting Zillow's Premier Agent, Agent Software and Advertising, and Zillow Home Loans business areas by providing high quality data products that allow our partners to generate business insights and drive outcomes for the company. You will focus on building data products that enable our AI partners to drive meaningful impact across each of our business lines, thus enhancing Zillow's offerings for our customers.
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About the role
The Senior Software Development Engineer, Big Data role at Zillow presents an outstanding opportunity to be at the forefront of brand-new data engineering work. Your day to day responsibilities will include the following:
- Design and implement scalable data pipelines to collect, process, and store large volumes of critical data from various sources.
- Partner closely with our AI and Machine Learning teams to build high quality real-time data pipelines that feed into their LLM, Forecasting and Propensity models across all of our business lines
- Provide data reliability and uptime by monitoring and troubleshooting data pipeline performance and scalability to ensure efficient operations.
- You are a "lazy" engineer - continuously seeking to improve the team's efficiency by automating repeatable processes.
- Facilitate engineering discussions with collaborators, customers, partners, and team members from various departments to understand business needs and convert them into technical requirements.
- You are a fast learner with strong business insight and can collaborate with various product partners to quickly acquire a deep understanding of the business processes that feed into our team's data pipelines
- Authoritatively translate business use cases into well-thought-out data models that are easy to evolve with the business.
- Communicate technical concepts effectively to non-technical audiences.
- You are a bar-raiser for engineering best practices - carefully reviewing specifications, designs, pull requests and providing constructive/helpful feedback to raise the quality of our team's output
- Consistently write high-quality code, refactor, and optimize for better scalability, performance, and readability.
- Provide leadership within the team and mentor junior engineers.
- Provide leadership within the team and mentor junior engineers.
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 in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-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
- A degree (BS+) in Computer Science or a related field
- 5+ years of experience building and maintaining data-intensive applications.
- Experience developing sophisticated data pipelines scaling to billions of rows with production quality deployment, monitoring and reliability
- Extensive experience with streaming data technologies such as Kafka, Kafka Connect, Flink, and Spark Streaming
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Extensive experience with SQL
- Proven data modeling experience, translating business requirements into clean and easily evolvable data models.
- Experience building data pipelines for AI and Machine Learnings teams
- Excellent interpersonal skills and a passion for collaborating across organizational boundaries.
Nice to have:
- Experience working with cloud services (AWS/Azure/GCP)
- Experience with Databricks
- Understanding of data visualization tools (e.g., Tableau, Power BI).
Get to know us
Zillow is reimagining real estate to make it easier to unlock life's next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting - and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, and a fundamental commitment to Equity and Belonging. We're also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don't just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees' Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
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, and gender identity. 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.