Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
Cherre provides investors, lenders, insurers, brokers and other large enterprises with a platform to collect, resolve, and augment real estate data from thousands of public, private, and internal sources. By providing a “single source of truth,” we empower companies to evaluate opportunities and trends faster and more accurately, while saving them millions of dollars in manual data collection and analytics costs.
We are looking for an enthusiastic mid level backend/data engineer who is interested in working with a fast-growing team in building industry-leading real estate data services. You will be part of designing and implementing server side services to ingest, organize, analyze, and display real estate data and insight. You will be working in a small team and be a real partner in the design and implementation of all aspects of our product.
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If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!
“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson
Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.
Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique “single source of truth,” Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.