Data Engineer Internship - Summer 2027

FlightSafety International•Columbus, OH

About The Position

The Data Engineer Intern performs meaningful work alongside FlightSafety International professionals and gains insight into the company’s culture and business philosophy. The role involves designing, building, and optimizing data pipelines in Databricks to support analytics and data-driven applications. The intern develops and maintains PySpark, SQL, and notebook workflows, troubleshoots data issues, and helps improve data quality and reliability across the platform. This is a paid, 10-week summer internship running from June 1 through August 4, 2027, with an expected schedule of 40 hours per week. Interns rotate through areas of responsibility, work on business-focused projects, and present a final project during the internship.

Requirements

  • Currently enrolled in an undergraduate or graduate program working toward a bachelor’s or master’s degree.
  • Cumulative GPA of 3.0 or higher at the time of application; GPA must be included on the resume.
  • Fundamental knowledge of computer programs, techniques, and concepts relevant to the area of application.
  • Strong work ethic, self-motivation, and a positive, personable manner, with the ability to develop relationships.
  • Excellent critical-thinking and problem-solving skills.
  • Ability to handle confidential information.

Nice To Haves

  • A major in Data Engineering, Computer Science, or Artificial Intelligence is preferred.

Responsibilities

  • Understand the company’s brand, customers, product goals, and other aspects of its services.
  • Rotate through divisions of responsibility and provide ideas to grow and improve the business.
  • Research and propose ideas and solutions for designated business-focused projects, then present a final project during the internship.
  • Engage with customers or clients and provide service and/or sales.
  • Suggest ways to management to improve customer service and internal processes.
  • Learn and become proficient with internal software systems.
  • Design, build, and optimize data pipelines in Databricks.
  • Develop and maintain PySpark, SQL, and notebook workflows.
  • Troubleshoot data issues and help improve data quality and reliability across the platform.

Benefits

  • Paid internship
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