Commercial real estate research, data, and analytics platform
Green Street is a commercial real estate and infrastructure research firm built on a data-heavy stack (AWS, PostgreSQL, Redshift, Python) that's actively shifting toward real-time data pipelines—adopting Kafka, Neo4j, and Qdrant while scaling field data collection and ETL infrastructure. The hiring mix tilts engineering-forward with retail data collection and nationwide field expansion underway, suggesting a transition from static research products toward continuous, property-level data feeds.
Notable leadership hires: Marketing Lead Generation Specialist
Green Street provides commercial real estate and infrastructure research, data, analytics, and advisory services across North America, Europe, Asia, and Australia. Founded in 1985, the company serves market participants—including REITs, investors, and developers—with forward-looking market research, proprietary datasets, predictive analytics, and expert guidance. Operations span regulated investment products alongside unregulated research and news. The company operates from Newport Beach, California, with distributed hiring across six countries and steady engineering headcount growth focused on data infrastructure and field operations.
AWS, PostgreSQL, MySQL, Redshift, Python, React, Vue, Docker, Terraform, and MongoDB. Currently adopting Apache Kafka, Neo4j, and Qdrant for real-time data pipelines.
Retail data collection, data ingestion and ETL platforms, segmentation model development, nationwide field coverage expansion, and a modern Excel add-in for clients.
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