Director, Data Engineering, Business Data

Zillow

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Remote

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Work type
Remote
Location
Remote
Employment
Full-time
Posted
71 days ago
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Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $206k
$146k most similar roles pay here $266k

This listing doesn't post a salary. Most similar roles pay $157,537–$254,793.

Based on 240 similar postings.

Employer

About Zillow

Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace

Zillow currently has 33 open roles on FindRole.

Listed pay typically runs $160,900–$257,100 across 25 roles with salary data.

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At a glance

TL;DR · Director, Data Engineering, Business Data

As Director, Data Engineering - Business Data, you will lead a growing data engineering function within the Business Data team to build a modern data platform for internal and external use cases. You will manage a team of engineers to design and implement scalable data pipelines that collect, process, and store large volumes of critical data from various sources. The role involves translating business requirements into sophisticated data models while collaborating with Product, Marketing, and Sales teams. To succeed, you must possess expertise in Spark, Airflow, Databricks, Python, Java, or Scala, along with expert-level SQL and experience with cloud services like AWS, Azure, or GCP. You will solve complex problems within the real estate industry by building high-quality data applications and leveraging AI to enhance delivery for Industry Professional projects.

What you'll do

  • Lead and mentor a growing team of data engineers within the Business Data organization.
  • Build and manage a modern data platform using technologies like Spark, Airflow, and Databricks.
  • Design and implement scalable data pipelines to process large volumes of critical data from various sources.
  • Translate complex business use cases into high-quality, evolving data models.
  • Convert requirements from Product, Marketing, and Sales teams into technical specifications.
  • Drive the evolution of the data engineering practice to improve quality, scale, and delivery speed.
  • Leverage cloud services and AI to innovate and rethink data engineering delivery methods.

What we're looking for

  • A degree (BS+) in Computer Science or a related field.
  • 15+ years of work experience involving quantitative data analysis and complex problem solving.
  • 5+ years leading Data Engineering teams.
  • Extensive experience building and maintaining data-intensive applications and sophisticated data pipelines.
  • Strong proficiency in Python, Java, or Scala, and expert-level SQL.
  • Proven experience in data modeling and working with cloud services (AWS/Azure/GCP).
  • Experience leveraging AI to rethink Data Engineering delivery.
  • Experience working with product and GTM teams (preferred).

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