Software Development Engineer (Big Data)

TL;DR

Software Development Engineer (Big Data): Design and develop scalable data pipelines that process petabytes of high-volume customer data with an accent on transforming raw data into fast, reliable datasets for analytics and AI. Focus on building production-quality solutions, improving deployment and monitoring, and translating business requirements into evolvable data models using Spark, Kafka, and Airflow.

Location: Remote (U.S. employees may live in any of the 50 United States, with limited exceptions)

Company

The most-visited real estate platform in the U.S., reimagining how people buy, sell, finance, and rent homes.

What you will do

• Design, build, and maintain large-scale data pipelines processing high-volume customer data.
• Deliver production-quality datasets for analysts, data scientists, AI teams, and product managers.
• Partner across teams to support decision-making, model development, and super app strategy.
• Develop solutions scaling to billions of rows and petabyte-level workloads.
• Improve deployment, monitoring, and reliability of data systems.
• Use Spark, SQL, Python, Kafka, and Airflow to build robust data solutions.

Requirements

• Bachelor’s degree or higher in Computer Science or related field.
• 3+ years building and maintaining data-intensive applications.
• Experience with production-grade data pipelines scaling to billions of rows and petabytes.
• Strong experience with Spark, Kafka, and Airflow.
• Strong programming in Python, Java, or Scala; extensive SQL and data modeling skills.
• Excellent collaboration skills across teams.

Culture & Benefits

• Competitive base salary, equity awards, and comprehensive benefits.
• Innovative, inclusive culture recognized as Fortune 100 Best Companies to Work For 2025.
• Empowered to grow career while driving industry innovation.
• Equal opportunity employer committed to diversity and inclusion.