
Job description
We are a fast-paced growing FinTech company looking for a talented, hands-on data engineer to work on our cloud-based solutions for pipelining public and private data from multiple sources. You will be working on an Agile team dedicated to parsing and processing, aggregating, and enriching the latest CRE data used by our clients and an internal team of researchers.
Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability. Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation.
You will have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere. We love great engineers, and we are excited to get to know you better.
Company

Finance • Real Estate • Tech, Software & IT Services
Green Street is a leading provider of independent research, data, analytics, and advisory services to the commercial real estate and infrastructure sectors. Established in 1985, the company equips investors and industry professionals across the globe – including the U.S., Canada, Europe, Asia, and Australia – with the critical insights needed to navigate complex markets and make informed decisions. Green Street’s core offerings encompass in-depth market research, proprietary data, predictive analytics, and expert consulting, covering areas such as REITs and broader commercial real estate (CRE). The firm differentiates itself through forward-looking analysis and a commitment to delivering actionable intelligence, fostering confident investment strategies for its diverse client base.