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NuOrder // online wholesale platform & marketplace for fashion industry
Engineering, Full Time    Remote/USA    Posted: Friday, November 13, 2020
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NuORDER is a venture-backed, B2B eCommerce technology company revolutionizing the way the $130 billion wholesale business is done. Since 2011, we've offered a platform to empower brands & retailers to conduct their business in a smarter, modern, more efficient way & 100% online. We're digitizing the buying process & currently partnering with over 2,000 brands & 500,000 retailers within different verticals to provide a central place to browse different products & catalogs, access up-to-the-minute sales & inventory data, & place orders any time of day, even via mobile.

This position is part of the Data Integration team, which owns the onboarding, enhancement, & support of data feed integrations between the NuOrder platform & our client's ERP, PLM, & other database systems. Our customers are top brands & retailers, & we help them integrate their internal systems with our Wholesale eCommerce platform to fully automate their order & sales pipeline. The Data Integration team is responsible for the data infrastructure that drives the partnership with customers & ensures their success through broad adoption of our solutions & best practices.

As a Data Integration Engineer, you will drive the successful development of solution infrastructure & the completion of data integration projects that automate the flow of data between NuORDER & other systems, or that customize the NuOrder purchasing workflow. Your efforts will be critical to driving the long-term partnership between NuOrder & our customers.

You will be primarily responsible for the solution design, delivery, & support of data integrations. You will be expected to contribute to multiple implementations simultaneously, which will include both new customer setup as well as support & enhancements for existing customers. You will work directly with our clients & internal project teams to design solutions that address client needs, analyze & map data files, & implement specific business rule configurations.
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