Zions Bancorporation Data Engineer in Salt Lake City, Utah
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. We operate in a fast-paced, information-driven environment, which means we need people who bring diverse experiences, perspectives, and expertise to meet the ever-changing demands of a technology-driven world. We are grounded in the belief that “improving the work is the work” as we drive to create simple, easy, and fast solutions for our customers. Your ability to adapt, learn, and innovate helps increase revenue, reduce operational costs, and mitigates risk.
ETO provides opportunities for you to own your career growth through Diversity, Equity, and Inclusion, Women in Technology, and Workforce of the Future initiatives that allow you to network across the organization, volunteer in our community, and build your technical and soft skills. Together we are building a culture that values diversity and creates a space of belonging for all our team members. We believe that investing in your success is an investment in our customers and our business. Our people are what sets us apart and make us great.
Zions Bancorporation has just opened an opportunity for a Data Engineer within the Data Engineering & Analytics team. We are currently looking for an experienced and passionate Data Engineer to help us with our Digital Transformation. The Data Engineering team is responsible for ingesting and processing terabytes of data a day to make quick and accurate business decisions in various domains including fraud, cybersecurity, and marketing. Our team is lean and agile. We are based in the heart of Salt Lake City, Utah, but we are open to remote work. If you are ready to move your career forward, read on.
Design and Develop highly available distributed system to extract, process and load (ETL) data from disparate sources across the organization
Work with Data Science, Fraud Analytics, and Information Security teams to build and deploy scalable Machine Learning models to production
Build real-time analytics integrations with state-of-the-art digital banking systems
Design and build RESTful APIs
Provide clear documentation on design decision and workflows
Gather business requirements and propose robust and scalable solutions
Req ID: 052214
Equal Opportunity Employer It is the policy of this corporation to provide equal employment and advancement opportunities to all employees and applicants for employment, without regard to race, color, religion, age (40 and over), sex, pregnancy, gender, disability, national origin, ethnic background, citizenship, veteran status, sexual orientation, gender identity and expression or any other characteristic protected by applicable law. This policy is established and administered in accordance with all applicable federal, state, and local laws. If you are an individual with disabilities who needs accommodation, or you are having difficulty using our website to apply for employment, please contact us at (801) 844-7628, Mon.-Fri. between 9 a.m. - 5 p.m. MST. Click here to view applicable Federal, State and/or local employment law posters.