Intern- Data Governance Engineering

Zions Bancorporation•Midvale, UT

About The Position

Zions Bancorporation is seeking a Data Governance Engineering Intern for Summer 2027 to join the Enterprise Data Governance Engineering (EDGE) team. The EDGE team acts as the technical center for data governance across the enterprise, managing product lifecycles and providing platform support for systems that enable data-driven decisions. As an engineering-focused team, they drive technical solutions for data quality, data classification, data rights, and data protection, while also maintaining and scaling the enterprise-wide common terminology framework. This internship offers the opportunity to gain hands-on experience in a fast-paced, information-driven financial institution environment, contributing to initiatives that enhance data governance and quality.

Requirements

Working toward a bachelor's or master's degree in computer science, Information Systems, Software Engineering, Data Analytics, or a related technical discipline.
Solid foundational knowledge of relational databases with experience writing and optimizing SQL queries.
Strong problem-solving, structural thinking, and organizational skills with an eye for spotting anomalies or inconsistencies in datasets.
Exposure to programming languages (preferably Python) or scripting for automation, data parsing, or working with REST APIs.
Understanding of fundamental data concepts such as metadata, data quality, data warehouses, or security controls.
Excellent written, verbal, and visual communication skills, with the ability to explain technical layouts or workflows clearly.

Nice To Haves

Familiarity with modern software collaboration tools (e.g., Git/version control, Azure DevOps, or basic CI/CD concepts).

Responsibilities

Assist in supporting the product lifecycle and deployment of central data governance platforms, including metadata catalogs, data discovery, and data lineage environments.
Partner with the data quality team to design, develop, and automate data quality validations, reconciliation rules, and data observability monitors.
Help manage and integrate the common enterprise business glossary and data catalog mappings to align business terms with technical database attributes.
Assist with projects focused on automated data discovery, classification, and scanning of structured and unstructured data environments to strengthen data rights and protection.
Evaluate and implement automated documentation pipelines, mapping data lineage and structural metadata using relational databases and programmatic APIs.