Purpose

As a Data Engineer Intern, you will support master data and analytics initiatives by assisting with taxonomy development, data standardization, and enterprise data modeling to strengthen data governance and consistency across the organization.

Responsibilities 

You will assist the Data Solutions- Master Data team in a variety of functions, such as: 

• Conduct taxonomy and classification research to support master and reference data modeling.
• Assist in documenting business definitions, hierarchies, and data relationships.
• Support data modeling and schema updates within the Nexxus project.
• Contribute to data quality analysis and remediation efforts.
• Help prepare datasets and transformations supporting master data workflows.
• Collaborate with Data Solutions and business stakeholders to validate taxonomy structures.
• Perform additional duties as assigned or requested.
   

Learning Opportunities

• Opportunity to gain hands-on experience in master data management, taxonomy design, and enterprise data modeling.
• Build skills in data engineering fundamentals, data governance, and reference data standardization.
• Programs and projects to help expand public speaking and presentation skills.
• Exposure to various parts of the business, encouraging professional development and relationship building.

 Knowledge, Skills, and Abilities

• Must be a critical thinker and a problem solver. 
• Strong verbal and written communication skills.
• Microsoft Office – intermediate to advanced Excel.
• P&C Insurance industry knowledge is a plus.
• Ability to work effectively both independently and in a team environment.
• Ability to communicate effectively across multiple channels and asynchronously in a remote-first working environment.

Requirements

• Student must be enrolled in an accredited university working towards a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems, or a related degree.
• Ability to work in a fully remote working environment free from distractions and access to stable and reliable internet services. 

Employment Conditions

• The intern will be expected to work full-time at 37.5 hours/week over the summer, with the potential for part-time work continuing during the school year. 
• This internship is classified as a temporary, part-time position. 
• This internship is compensated as a non-exempt, hourly position. 
• This internship position is fully remote.