Software Development Engineer, Big Data

Mexico City

Zillow

The leading real estate marketplace. Search millions of for-sale and rental listings, compare Zestimate® home values and connect with local professionals.

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About the team

The Customer Data team exists to provide a comprehensive view of each of Zillow’s customers. It owns data products that contain aggregations of customers’ activity on Zillow, AI model output predicting customer behavior, third-party data supplementing Zillow’s own data, and more. These data products are used by AI, Marketing, and Data Science teams to support numerous use cases.

The team owns several Customer Data products that help with user identification across sessions, capturing user behavioral metrics, transcribing user calls and more. We work in a decentralized work where Customer Data is produced by several teams and consumed in self-service fashion by engineering and product teams.

About the role

A Software Engineer (Big Data) in the Customer Data team at Zillow will be responsible for designing, building, implementing, and supporting data pipelines and products to serve machine learning (ML), AI, and analytical use cases for several business functions. The role involves collaborating with product managers, engineers, data scientists, and analysts to build high-quality datasets and data products that support producers and consumers of Customer Data (including AI). In this high-impact role, you will also focus on ensuring data quality, monitoring, and automation in data engineering processes, and contribute to the development and deployment of data products.

As a member of this team, you will:

  • Collaborate with product managers, engineers, data scientists, and analysts to build, transform, and derive value from high-quality datasets, with a focus on enabling Customer Data products.

  • Build self-service tools and platforms that tackle the challenges faced by both data producers and consumers

  • Contribute to common infrastructure that powers these tools.

  • Research and pioneer the adoption of new technologies within Zillow, especially those that advance the team’s AI and automation capabilities.

  • Identify opportunities to evangelize and support best usage patterns of Customer Data

  • Contribute back to common tooling/infrastructure to enable self service tooling to expedite customer onboarding

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

  • 3+ years of software development experience with high proficiency in Python, Scala or Java.

  • Must have knowledge of data structures and algorithms and experience working with Open Source and data engineering technologies (Spark, Hive, Airflow, Kafka, Flink and AWS technologies etc )

  • Ability to build end to end data pipelines including CICD, Data Quality, Monitoring & Alerting

  • Experience with Data Modeling

  • Must have SQL knowledge.

  • Ability to work with large and small teams and able to work independently

  • Possess strong problem-solving skills, sensible trade-offs and a positive attitude

  • (Plus) Familiarity with Databricks stack

  • (Plus) Familiarity with streaming technologies like Flink and Kafka.

  • (Plus) DevOps experience with production systems.

Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow AWS Big Data Databricks Data pipelines Data quality DevOps Engineering Flink Java Kafka Machine Learning Open Source Pipelines Python Research Scala Spark SQL Streaming

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events

Region: North America
Country: Mexico

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