Senior Data Engineer for Real Estate Analytics

hace 5 días


Alajuela, Alajuela, Costa Rica Zillow A tiempo completo

About Zillow's Data Management Team

Overview

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. 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.

About the Role

We're seeking a Senior Data Engineer to play a central role in powering analytical and ML teams by providing validated high-quality property datasets that are a single source of truth across the organization.

Responsibilities
  • Design, implement, and take ownership of mission-critical ETL pipelines
  • Contribute to the architecture and development of near real-time/batch data products
  • Work closely with business stakeholders, data analysts, data scientists, and machine learning engineers to productionalize analytic solutions

This is an evergreen job post that accepts applications on an ongoing basis. We will consider your profile for any current and future openings that align with your expertise.

What You'll Need

To be successful in this role, you'll need:

  • 5+ years of Software development experience with high proficiency in Python, Java, Scala or another language
  • A thorough knowledge of data structures and algorithms
  • Prior experience working with customers to understand and capture requirements
  • Fluency in English and Spanish (both written and spoken)
Benefits

In addition to a competitive base salary, this position is also eligible for equity awards based on factors such as experience, performance, and location.

This role has been categorized as a teleworker position. Employees may live in any part of Mexico, but preferably in Mexico City, as we would encourage attendance for occasional in-office events.


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