Software Development Engineer, Big Data

About the team

About the role

A Software Development Engineer (Big Data) in the Iron Chef team at Zillow will be responsible for designing, building, implementing, and supporting data pipelines and products to serve machine learning (ML) and analytical use cases. The role involves collaborating with product managers, engineers, data scientists, and analysts to build high-quality datasets and data products that support Zillow Partner Agents. In this high-impact role, you will also focus on ensuring data quality, monitoring, and automation in data engineering processes.

As a member of this team, you will:

• Collaborate with product managers, engineers, data scientists, and analysts on their endeavor to build, transform, and derive value from high-quality datasets.

• Build self-service tools and platforms that strive to 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.

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

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

• You have strong opinions about what makes a tool, API, or platform phenomenal and love using your creativity to make them even better!

• Experience with containerization technologies like Docker or Kubernetes.

• Familiarity with analytical tools like Tableau, Superset, Mode Analytics.

• Must have SQL knowledge.

• Must have thorough knowledge of data structures and algorithms.

• Must have prior experience working with customers to understand and capture requirements.

• Experience building highly scalable and reliable data pipelines using technologies like Spark, Hive, Trino/Presto, Airflow, Kafka, Flink.

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

• (Plus) Experience with data modeling.

• (Plus) DevOps experience with production systems.

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.