Internship – Data Engineer, Commercial Audience Science (Spring 2027)

Summary

Universal Orlando Resort is offering an internship opportunity in Data Engineering as part of their internship program. The Data Engineering Intern will work alongside data scientists and analysts to build and improve data sources, create scalable data pipelines, and ensure data quality for analysis and machine learning.

Responsibilities

• Support data scientists and analysts by building, maintaining, and optimizing data pipelines that enable analytics, insights, and machine learning models
• Help with ingesting, transforming, and validating structured and unstructured data, ensuring data quality, consistency, and availability
• Develop and maintain reusable data assets, models, and workflows that make data accessible for business use cases
• Participate in team meetings, code reviews, and learning sessions to build technical skills and understanding of real-world data platform development

Skills

• Coursework or experience with data engineering and data structures
• Basic understanding of data architecture, databases, and data warehousing concepts
• Experience with Python/R and SQL for data cleaning, manipulation, transformation, and validation. Familiarity with ETL processes
• REST APIs, and building data pipelines
• Proficient skill level in Microsoft Suite. Strong verbal, written, and presentation skills
• In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or above
• Minimum cumulative 2.8 GPA is required
• A transcript is required upon application
• Experience with Big Data or distributed processing tools (e.g., Snowflake, Databricks, Spark, Hadoop)
• Experience with cloud platforms (e.g., Azure, AWS)
• Experience with data visualization platforms (e.g., Power BI, Tableau)
• Preferred majors include: Computer Science, Data Engineering, Data Science, Information Systems, or a related quantitative field

Qualifications

Must Haves

• Coursework or experience with data engineering and data structures
• Basic understanding of data architecture, databases, and data warehousing concepts
• Experience with Python/R and SQL for data cleaning, manipulation, transformation, and validation. Familiarity with ETL processes
• REST APIs, and building data pipelines
• Proficient skill level in Microsoft Suite. Strong verbal, written, and presentation skills
• In pursuit of an Associate, Bachelor or Graduate degree at an Accredited Institution with current class standing of Senior or above
• Minimum cumulative 2.8 GPA is required
• A transcript is required upon application

Nice to Haves

• Experience with Big Data or distributed processing tools (e.g., Snowflake, Databricks, Spark, Hadoop)
• Experience with cloud platforms (e.g., Azure, AWS)
• Experience with data visualization platforms (e.g., Power BI, Tableau)
• Preferred majors include: Computer Science, Data Engineering, Data Science, Information Systems, or a related quantitative field

Benefits

• All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.