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A leading real estate technology firm is seeking a Data Engineer to design and implement efficient data pipelines. The role involves collaborating with product managers and data scientists. Remote work is allowed across Mexico, preferably from Mexico City. Candidates should have a degree in Computer Science and experience with Python or Java. A competitive salary and equity awards are included.
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.
Collaborate with product managers, engineers and data scientists across teams to provide real estate data products purpose built for high priority initiatives
Consistently deliver high-quality features independently as part of larger workstreams
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
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.
A degree in Computer Science or a related technical field; or equivalent work experience
3+ years of experience designing and implementing data pipelines
Demonstrable expertise in Python or Java
Excellent interpersonal skills and passionate about collaborating across organizational boundaries
Excited about collaborating with your teammates to facilitate shared growth and skills development
Databricks experience is heavily preferred
Basic understanding of ML model development life cycle is a plus
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.
We are 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.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.