Data Engineer II

Merrick Bank • South Jordan, UT

2d

About The Position

The Data Engineer works closely with our Data Scientists to deploy and operationalize the machine learning models, statistical models, and advanced statistical analytical solutions for the bank. Core responsibilities include enhancing the speed and accuracy of analytics through improved data access, data processing, data quality controls, automation, integration, documentation, and end‑to-end model deployment and management. Data Engineering and Data Science are deeply technical disciplines that rely on a broad, cross‑disciplinary skill set spanning software engineering, statistical analysis, and modern data infrastructure.

Requirements

• Bachelor's degree in quantitative fields (e.g., Computer Science, Software Engineering, Information Technology, Data Science/Analytics, Statistics/Applied Math, Economics, or Sciences) is required.
• Two (2) years of hands-on experience with a bachelor’s degree, or one (1) year’s hands-on experience with a master’s degree, in data engineering, software development, and information systems management, or a closely related field.
• Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
• Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
• Strong verbal, written, and interpersonal communication skills.
• Proven ability to collaborate effectively within cross‑functional teams.
• Ability to navigate ambiguity and work hands‑on with complex business and technical challenges.
• Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
• High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one’s sleeves.

Nice To Haves

• Master’s degree in quantitative fields (e.g., Computer Science, Software Engineering, Information Technology, Data Science/Analytics, Statistics/Applied Math, Economics, or Sciences) is preferred.

Responsibilities

• Manages and enhances system infrastructure, data pipelines, model deployment workflows, and process automation of across analytics and production environments.
• Ensures rigorous quality assurance for data processes and the modeling team’s codebase.
• Improves the data environment to increase speed, reliability, and ease of access.
• Documents all data, processes and models developed or used by the business unit.
• Strengthens the speed and accuracy of analytics by optimizing data access, quality controls, automation, system integration, documentation, and end‑to-end model deployment and management for the Data Science and Modeling team.
• Leads and executes data engineering initiatives that support and maintain ETL processes and data pipelines for the Data Science and Modeling team, while providing data engineering expertise and best practices across the organization.
• Compliance with Laws and Regulations Responsible for complying with all of the Bank’s internal control policies and procedures.
• Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
• Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.
• Perform other duties as assigned by senior management.
• Maintain ethical standards, judgment, and confidentiality in all matters.

Benefits

• Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
• Benefits Package -Medical, Dental, and Vision (plus much more)
• 401(k) Plan with Company Match
• Short- & Long-Term Disability
• Wellness Programs
• Group Life and AD&D Insurance
• Paid Vacation, Sick Days and bank Holidays
• Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees