
Job description
Join a fast-paced growing FinTech company as a Senior Data Engineer to work with the latest technologies, including Python, Amazon Web Services (AWS), and custom-built API's. Collaborate with an Agile team to parse and process CRE data for clients and internal 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.
Excellent Python Programming knowledge, leadership and interpersonal skills, and ability to quickly learn and troubleshoot complex pipelines are required. Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus.
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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.