Intern- Data Analytics Engineer

re-zoo-me; Midvale, Northern (UT, KY); Hybrid; USD 25,000 - 30,000; Full time

Job summary

Zions Enterprise Data & Analytics is offering a 2027 Data Analytics Engineering Intern position in Midvale, UT. This paid summer internship runs from mid May through mid August, with local candidates preferred.

The intern will support data warehouse and data lake activities, focusing on data acquisition, processing, and analytics reporting. Responsibilities include data source analysis, data quality automation, and contributing to CI/CD data workflows, while gaining exposure to AI/ML tooling and

Qualifications

• Pursuing or holding a Bachelor's or Master's degree in Information Systems, Data Analytics, CS, Economics, Mathematics, Statistics, or Engineering.
• Ability to analyze, model, and interpret large datasets to solve business problems.
• Experience with relational databases, data warehousing concepts, and writing SQL queries.
• Familiarity with source control systems (Git) and software development best practices.
• Familiarity with CI/CD concepts, automated testing, and deployment pipelines.
• Exposure to data transformation tools (e.g., dbt) is a plus.
• Interest in AI, Generative AI, LLMs, AI agents, and MCP frameworks.
• Experience with API integrations, workflow automation, or cloud-based data platforms is a plus.

Responsibilities

• Apply business analytics to define, identify, and obtain source data from various sources like EDW and Data Lake; analyze, map, transform, and validate data for reporting.
• Leverage AI-enabled technologies to enhance data discovery, metadata management, and productivity; explore MCP services for secure data access.
• Develop and automate data quality validations, reconciliations, and business rule checks to improve data confidence.
• Contribute to CI/CD by integrating automated data validations, testing, and deployment controls.
• Monitor and improve data observability, quality, lineage, and pipeline performance.

Skills

Data analysis

SQL queries

Data modeling

Analytical mindset

Git

Education

Bachelor's or Master's degree

Related technical discipline

Tools

Git

CI/CD concepts

dbt

Job description

Data Analytics Engineering Intern.

2027 Paid Summer Internship

Mid May – Mid August

This internship is not eligible for relocation assistance. Local candidates preferred.

Zions Bancorporation’s Internship and Banker Development Program positions are not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.

Zions Bancorporation 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 ever-changing demands. Your ability to adapt, learn innovate and collaborate with a dynamic team helps us provide exceptional service to our customers and communities.

ETO is committed to helping our employees grow, develop and advance in their career. Our Workforce of the Future, DEI and Upskilling initiatives allow you to network across the organization, volunteer in our community, and build your technical and soft skills. We believe that investing in your success and well-being is an investment in our customers and our business.

Together we are building a culture that values diversity, celebrates growth and creates a space of belonging for all our team members. Our people are what set us apart and make us great.

Zions Enterprise Data & Analytics is looking for a Data Analytics Engineering Intern.

The intern will assist the Enterprise Data Warehouse function to acquire, process, and analyze data from Enterprise Data Warehouse, Data Lake, and other data repositories to support financial or analytical reporting.

Data Analyst Intern will:

• Apply business analytics to define, identify, and obtain source data from various sources such as Enterprise Data Warehouse, Data Lake, and other enterprise platforms; analyze, map, transform, and validate data to support Financial Data Management reporting.
• Leverage AI-enabled technologies to enhance data discovery, documentation, metadata management, and analytical productivity. Evaluate opportunities to develop and utilize Model Context Protocol (MCP) services and integrations to provide secure, reusable access to enterprise data and business knowledge.
• Develop and automate data quality validations, reconciliation processes, and business rule checks to improve confidence in enterprise data assets and reporting outcomes.
• Contribute to CI/CD processes by integrating automated data validations, testing, and deployment controls into enterprise data workflows to improve reliability, scalability, and maintainability.
• Assist in monitoring and improving data observability, data quality, lineage, and pipeline performance to proactively identify and address data issues.

Qualifications:

• Working toward a Bachelor's or Master's degree in Information Systems, Data Analytics, Computer Science, Economics, Mathematics, Statistics, Engineering, or a related technical discipline.
• Enjoy analyzing, modeling, and interpreting large and complex datasets to solve business problems.
• Experience with relational databases, data warehousing concepts, and writing SQL queries.
• Exposure to source control systems such as Git and software development best practices.
• Familiarity with CI/CD concepts, automated testing frameworks, and deployment pipelines.
• Exposure to modern data transformation and analytics engineering tools (e.g., dbt) is a plus.
• Interest in Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), AI agents, and Model Context Protocol (MCP) frameworks.
• Experience or coursework involving API integrations, workflow automation, or cloud-based data platforms is a plus.