Reonomy leverages big data, partnerships & machine learning to connect the fragmented, disparate world of commercial real estate. By providing unparalleled access to property intelligence, Reonomy products empower individuals, teams, & companies to unlock insights & discover new opportunities.
Headquartered in New York, Reonomy has raised $128 million from top investors, including Sapphire Ventures, Bain Capital, Softbank, Primary Ventures, Georgian Partners, Wells Fargo Strategic Capital, Citi Ventures, & Untitled Investments. Our clients represent the biggest names in CRE, including Newmark Knight Frank, CBRE, Cushman & Wakefield, & Tishman Speyer.
If you're excited by growth, innovation & the ability to shape one of the biggest markets, join us as our journey is just beginning!
ABOUT THE ROLE:
As a Data Engineer at Reonomy, you will tackle hard challenges everyday! We are working to build a data infrastructure that can manage the complexities of commercial real estate as well as scale to support the disparate datasets required to build a first-of-its-kind data product. Using a mix of the latest-and-greatest tech as well as some proven tools, we are pioneering the use of data discovery, pipelining, extraction, importation, sanitization, & visualization of massive datasets to an industry that is eager to utilize an Enterprise CRE SaaS solution like ours in their daily workflow. We take on tough problems in machine learning & scalable data processing using technologies like Scala, Spark, Postgres, ElasticSearch & Docker.