Thanks for your interest in applying to the Bank of Utah. My name is Ron Ross, and I work as VP of Advanced Analytics & AI. As an introduction to our company, the Bank of Utah was founded in 1952, and is one of Utah’s largest privately owned community banks. We were named Nasdaq’s Best Bank in Utah for 2025 and a Top 100 Fastest Growing Company.
Our Mission Statement:
We strive to unlock the potential of our team members, clients, and community. We act with integrity in every decision, build trust through every interaction, and exceed expectations at every opportunity. We seek to responsibly create lasting prosperity today and for generations to come.
Job Opening Details:
If our mission statement piques your interest, we encourage you to apply for the currently open position of Data Engineer to work Monday - Friday at our Branch located at 50 South 200 East Salt Lake City, UT. This Data Engineer is responsible for the aggregation, transformation, and engineering of Bank data. Will serve as a Subject Matter Expert (SME) for data processing and reporting applications, ensuring the integrity and usability of data for further analysis and visualization. Primary tasks will include engineering data pipelines, coordinating with various business units on data projects, and leveraging data analytic and RPA tools to gather and organize reliable data. This position requires U.S. citizenship and does not offer visa sponsorship.
Job Qualifications:
- Education: Associate or Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Technical Skills: Proficiency in data visualization tools such as Tableau and experience with Snowflake are preferred. Coding skills in SQL is also preferred.
- Data Analytics: Ability to perform exploratory data analysis and develop analytical models.
- Passion: Enthusiasm for data engineering, technology, and the banking industry.
- Communication: Strong communication skills with the ability to provide and receive feedback effectively.
- Organization: Excellent organizational skills, with a focus on detail and follow-through.
- Career Goals: Aiming to pursue a career in data engineering and business intelligence.
- Data Skills: Competence in data gathering, cleaning, and transformation techniques.
- Learning Orientation: Eagerness to learn and apply new skills in data engineering and analytics.
Benefits of Working with Us:
Bank of Utah's comprehensive benefits package includes:
- Great work-life balance, with a Monday-Friday schedule
- Competitive pay and benefits, including medical, dental and vision plans
- 401(k) plan and match up to 5 percent in our employee stock ownership program (eligibility requirements must be met)
- 12 paid bank holidays + paid time off, including paid parental leave
- Volunteer opportunities to make a difference in the communities where you work and live
- Awards and recognition to celebrate you and your colleagues for living the bank's values
Job Description:
- Data Engineering: Design, build, and maintain data pipelines to facilitate the extraction, transformation, and loading (ETL) of data. Ensure that data flows are efficient, accurate, and timely.
- Data Aggregation: Aggregate data from multiple sources, ensuring consistency and accuracy in the data used for analysis and reporting.
- Data Transformation: Clean, filter, and transform data to prepare it for analysis. Identify and resolve data integrity issues.
- Data Analytics: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Develop and implement analytical models to support business decisions.
- Reporting: Assist in generating and maintaining reports from primary reporting applications, providing insights and analysis as required.
- Tool Utilization: Use data analytic tools and RPA tools to automate and streamline data collection and processing tasks. Experience with Tableau and Snowflake is preferred.
- Collaboration: Work closely with different business units to support data-driven projects, ensuring alignment and coordination across teams.
This position requires U.S. citizenship and does not offer visa sponsorship.
