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BuildingConnected // construction platform for contractors & owners
Engineering, Full Time    San Francisco    Posted: Tuesday, July 30, 2019
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About Us:
Our mission is to connect every business in the $10 trillion construction industry & to strengthen the lives, jobs, & relationships of millions of hardworking construction professionals worldwide.

We're creating beautiful, user-friendly communication software & transforming an industry that's traditionally been underserved by tech. Over $100 billion in new construction is managed on our platform every month. From the new Warriors stadium to local schools & hospitals, our tools are helping cities grow & communities come together. We're solving real problems for real people.

Engineering at BuildingConnected:
In engineering at BuildingConnected, our job is simple: we create efficiency.  Whether it's indexing millions of American businesses for lightning-quick search, optimizing the transfer of terabytes of architectural drawings, or building clean new UIs to manage thousands of business opportunities, we pride ourselves in creating efficiency through code.  If you like effecting change on a global scale & want to work with an awesome team that is building truly useful products for people in a hard-working industry, we should chat.  This is a great opportunity to join a growing startup with a massive upside! Learn more here.

The Role
As a Data Engineer you'll build & maintain the data infrastructure that makes BuildingConnected the leading network where pre-construction is done. We're driving progress across our application by leveraging data on the construction industry. From helping general contractors find subcontractors via recommendations & search, to building machine learning systems that eliminate manual data entry, you'll be integral to boosting our application as the source of truth in construction. You'll have autonomy to experiment with cutting edge tech, designing systems & holding ownership for their implementation. In your day-to-day, you'll work closely with the data science, analytics, & engineering teams to ensure our data infrastructure is consistently improving to better serve our customers.

Our Tech
Some of the technologies we rely on are:
- Airflow
- Elastic Map Reduce
- PySpark
- Scikit-learn
- AWS Lambda
- Redshift
- MongoDb
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