Internship Email Developer Jobs (NOW HIRING)

• Applications Close: June 26th, 2026, at 11:55PM ET. Submit your application as soon as possible - don't delay!
• Spring 2027 Program Dates:  Approximately January 2027 - April 2027

The Data Engineering Intern will work with a team of data scientists and analysts to learn how to build and improve data sources that support business needs. In this role, the intern will gain hands-on experience working with both structured and unstructured data, helping to create scalable data pipelines and ensuring data is clean, reliable, and ready for analysis and machine learning. The intern will also get experience designing data workflows, running data quality checks, and supporting model development and deployment. Throughout the internship, they will learn best practices in data ingestion, data transformation, and data infrastructure. This experience will help the intern build practical skills in ETL pipelines, MLOps, and overall data engineering.

• 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.

• 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.

• This internship will be an in-person experience, based in our Orlando offices.
• Interns must be currently pursuing a degree at an accredited university, and must have a graduation date later than April 2027.
• Universal Orlando does not provide housing. Interns are responsible for their own housing and transportation.
• All of our internships are paid, and you may also qualify for housing financial assistance if applicable. The Recruiter will provide specific eligibility details.

Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means. 

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