WEX Inc. is a leading and growing global provider of payment processing, information management and fleet card payment solutions. We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry. If you are looking for a growing career – come be part of WEX today!
We are looking for a savvy Data Engineer to join our growing team of analytics experts in our New Product Development department! Sitting on the fourth floor overlooking the ocean in downtown Portland, you will focus on expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The ideal candidate is an experienced data pipeline builder and “data wrangler” who enjoys optimizing data systems and building them from the ground up. Supporting our software developers, data analysts and data scientists on data initiatives and ensuring optimal data delivery architecture is consistent throughout ongoing projects will be top priority. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
The ideal candidate will have the opportunity to:
Collaborate (on design) and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Assist team to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS (Amazon Web Services) ‘big data’ technologies.
Interact with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Engage with data and analytics experts to strive for greater functionality in our data systems.