Software Development Engineer, Big Data

Zillow Zillow · Consumer · Mexico City, Mexico

Software Development Engineer on the Agentic Enablement team, responsible for building reusable data platforms and pipelines that power AI use cases across Zillow. This role focuses on data engineering for AI, enabling AI teams to deliver next-generation customer experiences by providing scalable data foundations.

What you'd actually do

  1. Design, build, deploy, and support scalable data platforms and pipelines that power AI use cases across Zillow.
  2. Partner with scientists, engineers, and product teams to understand requirements and deliver the data foundations they need to deliver at speed and scale.
  3. Optimize data in production systems for scale, reliability, low latency, and efficient resource utilization.
  4. Strengthen platform reliability by contributing to shared tooling, infrastructure, and self-service capabilities that accelerate AI development.
  5. Support and improve a portfolio of platform services to drive adoption, delivery, and operational excellence.

Skills

Required

  • 3+ years of software development experience
  • strong proficiency in Python, Java, Scala, or another modern programming language
  • solid foundation in SQL, data structures, and algorithms
  • experience with Databricks or a similar data environment
  • built scalable, reliable data pipelines using technologies such as Spark, Hive, Kafka, or Flink
  • experience working with customers or stakeholders to understand requirements and translate them into practical technical solutions
  • comfortable working in a fast-paced, sometimes ambiguous environment

Nice to have

  • experience with streaming systems
  • real-time AI applications
  • foundational infrastructure for agentic systems
  • experience with containerization and production systems, including tools such as Docker or Kubernetes and DevOps practices
  • experience in data modeling
  • working with regulated or sensitive data
  • advanced degree in Computer Science, Machine Learning, or a related field

What the JD emphasized

  • scalable data platforms and pipelines
  • foundational infrastructure for agentic systems
  • real-time AI applications

Other signals

  • build reusable data platforms and pipelines that enable AI teams
  • foundational infrastructure for agentic systems
  • real-time AI applications