Senior Data Visualization Engineer
@ Zillow

Hybrid
$180,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXX XXXXXXXXX XXXXXX***** @zillow.com
Recommended after applying

Job Details

About The Team

Zillow is reimagining real estate to make home a reality for more people. 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. The company values innovation, equity, belonging, and flexible work arrangements.

About The Role

As a Senior Data Visualization Engineer on the Marketing Data Science & Analytics team, you will craft visually compelling dashboards that transform complex data into actionable marketing insights. You will work closely with marketing, data science, and product teams to build scalable reporting solutions and empower the organization with data-driven decision-making.

  • Build and maintain engaging visualizations and dashboards
  • Collaborate with cross-functional teams to translate business goals
  • Utilize BI tools like Tableau and custom UI development (JavaScript)
  • Work with large datasets using SQL, ETL tools, and Databricks
  • Measure and report on marketing campaign effectiveness

Key skills/competency

  • Data Visualization
  • Tableau
  • SQL
  • JavaScript
  • ETL
  • Databricks
  • Data Modeling
  • Marketing Analytics
  • Big Data
  • Dashboard Development

How to Get Hired at Zillow

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to Zillow's data visualization tools.
  • Research Zillow's culture: Study their mission and employee reviews.
  • Highlight relevant experience: Emphasize SQL, Tableau, and JavaScript projects.
  • Prepare for technical interviews: Practice SQL queries and dashboard design.
  • Follow application tips: Submit a concise, achievement-driven resume.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries.
Develop interactive Tableau dashboards.
Review JavaScript visualization libraries.
Test ETL tools with sample datasets.

Behavioral Questions

Describe a challenging project with data visualization.
Explain how you resolve team conflicts.
Share examples of handling complex marketing data.
Discuss a time you adapted to remote work challenges.

Frequently Asked Questions