This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making. The Data Engineer position will support the architecture and systems that support data movement within the organization in both Linux and Windows environments, including managing the software that runs in those environments.
Collaborates with data science team, software developers, business analysts, and data engineering to extract transactional, historical, analytical, behavioral and predictive data sets by building data pipelines from ever increasing data resources. Understands progressive statistical, programmatic, and analytical approaches to business hypotheses as it applies to available data. Aids business owners & data science team in the interpretation of source data and associated business data pipelines. Requires a solid understanding of both the technical and business aspects of Data Science and business analytics. Requires full software development life cycle experience within various analytical architectures, including piloting models and processes, architecting underlying data design, and model/process operationalization. Models will be deployed using agile methodologies to ensure timely and relevant delivery.
Will be required to explore internal and external data sources to identify useful structures within the data that were/are previously unknown to the business. Should have a strong understanding of relational and dimensional modeling to facilitate data wrangling, model operationalization, and exploration of data. Responsible for adhering to corporate data governance policy and controls to ensure the accuracy, timeliness and confidentiality of resources under management. Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Engineer’s primary focus will be on operationalization of data pipelines to facilitate use of novel and optimized data set products by a variety of end users using a variety of data transformation tools.
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We’re proud to provide the finest financial products & services in the most professional and convenient manner possible. As the nation's 5th largest credit union, and with more than 130 locations, our team is dedicated to the well-being of 1.4 million members in Utah, Nevada, Idaho, Arizona, and New Mexico.
Our mission is to provide personal financial services of a superior quality to the members/owners; our chief concern being their financial well-being.
We desire to be the primary financial institution of our members. We will use automation and technology to support a highly trained group of volunteers and staff.
Professional managers will be accountable for the quality of service and will be given sufficient flexibility in implementing policy to ensure that the member perceives the highest degree of excellence in every contact.
Professional marketing will provide aggressive programs to sustain and increase growth. We will seek our growth both from new members and by serving the financial needs of present members in a more complete manner. We will not sacrifice quality of present services to seek growth.
In order to provide quality member services, the credit union must remain financially sound and secure. Adequate operating controls, capital reserves and liquidity will be maintained at all times.
We will be sales oriented in our approach to members, and traditional credit union philosophy will remain our guiding principle. Among financial institutions, this credit union is a unique organization with deep and abiding human values. Our goal is to maintain those qualities.
13 August 1985
