About the team
Zillow Group aims to empower individuals to unlock life's next chapter, and real estate data is a vital resource for all teams dedicated to this goal.
The Real Estate Data for Analytics (REDA) team is uniquely positioned within Zillow to deliver this resource. Our team specializes in transforming a broad range source-aligned industry data into highly accessible data products that serve a range of analytical use cases across Zillow. By processing, aggregating, and curating this data, we minimize the data engineering burden for the many Zillow teams that focus on high-value Analytics, AI and ML initiatives.
About the role
As a member of this team, you will:
- Collaborate with product managers, engineers and data scientists across teams to provide real estate data products purpose built for high priority initiatives
- Mentor junior engineers, guiding them through product delivery milestones for work streams that you own
- Skillfully design and implement efficient and maintainable components in new Databricks pipeline
- Migrate or deprecate legacy data pipelines to reduce overall support burden on the team
- Actively contribute to building a team culture of openness and innovation
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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 in Computer Science or a related technical field; or equivalent work experience
- 5+ years of experience designing and implementing data pipelines
- Demonstrable expertise in Python or Java
- Excellent interpersonal skills and passionate about collaborating across organizational boundaries
- Possess the ability to own all aspects of the software development lifecycle including leadership of complex projects, breaking down milestones, and effective delegation to team members
- Excited about mentorship and coaching your teammates
- Databricks experience is heavily preferred
- Basic understanding of ML model development life cycle is a plus
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.