Tech-driven real estate brokerage with integrated search, touring and mortgage
Redfin runs a high-traffic home search and brokerage platform, now part of Rocket Companies, on a multi-cloud stack spanning AWS, Azure and GCP with Snowflake, Spark, Airflow and Kafka for data. Adoption of Apache Iceberg alongside OpenAI API, RAG and MCP points to a lakehouse-plus-AI push, while hiring is overwhelmingly sales-led at junior and mid levels, centered on agent capacity rather than engineering headcount.
Redfin is a Seattle-based real estate brokerage that pairs a consumer home search website and app with local agents. As part of publicly traded Rocket Companies, it is building an integrated homeownership experience covering search, on-demand tours, Rocket Mortgage financing and closing. Its business spans national brokerage, listing and buying homes, and mortgage services. The company employs 1,001–5,000 people and hires within the United States.
Redfin uses Python, Java, TypeScript, React and React Native, with PostgreSQL, MySQL, DynamoDB, Redis, Snowflake, Spark, Airflow and Kafka across AWS, Azure and GCP, plus Docker, Kubernetes and Jenkins.
Yes. Sales dominates Redfin's open roles, mostly junior and mid-level, alongside smaller real estate, engineering, data and product hiring, all in the United States.
Yes. Redfin's stack includes the OpenAI API, RAG and MCP, plus Cursor for development, and it is adopting Apache Iceberg for its data layer.
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Redfin's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.