Data Engineer Intern

JM Family•Deerfield Beach, FL

About The Position

The JM Family College Internship Program provides college students with meaningful work experiences connected to their programs of study. Interns contribute to their teams, learn about JM Family’s companies and culture, and develop skills through learning opportunities and networking events. The Summer Internship Program runs from May 24, 2027, through July 30, 2027, and the ideal candidate will be available to work full-time during that period. The Data Engineer Intern will gain hands-on experience supporting data initiatives to improve and modernize the team’s data environment. The role offers exposure to data engineering and analytics, applying technical coursework to real-world business needs and contributing to ongoing data warehouse modernization efforts. Work arrangements are flexible depending on business needs and are subject to associate performance, business need, and manager discretion.

Requirements

  • Be actively enrolled in a bachelor’s, master’s, or other degree-seeking program at an accredited college or university, preferably in a relevant field; candidates in related fields will also be considered.
  • Have completed at least one semester of coursework.
  • Be pursuing a degree in Information Technology or a related field.
  • Have completed relevant coursework in SQL, data management, software, or related technical areas.
  • Have foundational knowledge of SQL concepts and an interest in applying technical skills to data engineering and analytics initiatives.
  • Be available to work full-time during the Summer Internship Program, May 24, 2027, through July 30, 2027.

Responsibilities

  • Create and modify SQL queries to support data engineering and analytics needs.
  • Develop data models to organize and structure data for business use.
  • Translate business and data requirements into SQL code and related data solutions.
  • Research and analyze data to support business needs and identify meaningful insights.
  • Participate in data remediation efforts supporting modernization of the team’s data warehouse.
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