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Data Modeler
Bright MLS
North Bethesda, USA
Full-time
Senior · 6+ years experience
Hybrid
USD 100000-125000 yearly / year
Discovered 1 weeks ago
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Role Overview
The Data Modeler will work with the Data Engineers, Data Architects, and Application Development teams to translate business needs into practical data models. They are responsible for designing and building highly complex data models and data architecture that improve accessibility, efficiency, governance and data quality that directly impact business results.
Key Skills for This Role
ER modelingSQLMicrosoft VisioErwin Data Modeler
Full Job Posting
Data Modeler
Home . It’s a word that holds a special place at Bright MLS. At its core, it’s shelter. But it’s also so much more. Family. Community. Safety. A place where you can be your fullest, truest self. That’s the word that inspires all of us at Bright to do the work that we do -- Ensuring an open, clear, and competitive housing market for ALL.
Our company –and our brand –are reflective of the diverse communities that make up our market. Our employees represent a diverse mix of backgrounds, cultures and experiences, so much so that Bright’s been named as one of the most diverse employers in the area by the Washington Business Journal –2 years in a row.
Bright MLS is the engine that powers the real estate market in the Mid-Atlantic U.S. - supporting over $100B in transactions yearly. It is the single source for all data on Mid-Atlantic residential real estate - anywhere. As a Multiple Listing Service (MLS), our technology solutions connect real estate professionals with other real estate professionals and their clients, providing an open and accessible marketplace for buying and selling real estate.
We’re redefining what it means to be an MLS, and we’d love to have YOU here with us helping tell a Brighter story to the world. To learn more, please visit www.brightmls.com .
SUMMARY
The Data Modeler will work with the Data Engineers, Data Architects, and Application Development teams to translate business needs into practical data models. They are responsible for designing and building highly complex data models and data architecture that improve accessibility, efficiency, governance and data quality that directly impact business results.
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