Staff Software Engineer, Data Platform

Company: Realtor.com

Location: Austin, TX 78702

Type: Full-time

Posted: 2026-10-20

About this role

Description


Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.

Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.

Staff Software Engineer, Data Ingestion Platform

About the Role

We are excited to welcome a hands-on Staff Software Engineer to our Data Movement and Transformation team within the Data organization! In this role, you will help design and operate the paved-path platform that empowers product engineering, analytics, data science, and business teams to move and transform data seamlessly and reliably across Realtor.com.

Our team champions foundational capabilities spanning real-time streaming, batch ingestion, data replication, orchestration, transformation, schemas, connectors, platform libraries, observability, and developer self-service. We are looking for a collaborative engineer who thrives across platform infrastructure and developer-facing tooling, takes pride in production outcomes, and makes it effortless for teams to onboard and operate data workflows.

Team platform charter

We are dedicated to building managed, highly reusable paths for:

  • Real-time and batch data ingestion through Prism/Data Collector and related APIs.
  • Kafka-based streaming on AWS Managed Streaming for Apache Kafka (MSK), including topics, producers, consumers, Kafka Connect, KSQ...

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