What You'll Do

• Engage with various teams within the specific department related to the internship, as well as throughout the University, to gain exposure and hands-on experience in their field of study; actively participate in a wide range of opportunities to apply practical knowledge to current business situations.

• Collect, analyze, and present findings in related areas using opportunities to apply practical knowledge and gain exposure to working with various levels of colleagues throughout the University.

• Participate in work groups to broaden knowledge and enhance skills

• Perform research and provide actionable recommendations in work-related areas.

• Perform other duties as assigned or apparent.

Additional Responsibilities:

• Collaborate with team members to work on at least one project associated with processing data and building data pipelines

• Work with middleware and back-end data engineering technologies in designing and developing enterprise solutions with cloud technologies

• Work with product teams to assist with ad-hoc data requests, data exploration and building business knowledge models

• Share personal knowledge gained through classroom and work experience to bring forward potential solutions to enhance current business processes.

NOTE:  The primary accountabilities above are intended to describe the general content and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or most of the primary accountabilities listed above. Specific goals or responsibilities will be documented in the incumbents’ performance objectives as outlined by the incumbents’ immediate supervisor or manager.

Supervisory Responsibilities

None

MINIMUM EDUCATION AND RELATED WORK EXPERIENCE:

• Currently pursuing a degree in a field related to focus of internship: Information Technology or Information System. Mathematics, Computer Science, Business Information Technology, or Information Systems OR have graduated with a related degree in the past 12 months.

• Able to commit to the internship position for a minimum of 3 months (May 18, 2026 - August 14, 2026), with the possibility of an extension.

• Able to commit to 40 hours per week (Monday-Friday) in a virtual environment free from distraction.

ADDITIONAL QUALIFICATIONS:

• Familiarity with the following:

o To build and maintain data pipelines and ETL processes.

o To develop and maintain data infrastructure systems, including data warehouses and data lakes.

o To create infrastructure as a code using Terraform.

o Writing complex SQL queries.

o Scripting languages like Python, Node JS, JavaScript.

o AWS Cloud Platform services like AWS S3, AWS Lambda, Glue, Managed Airflow, IAM, Amazon RDS, Amazon Redshift, MSK, Kafka, Apache Airflow

o Other software and online applications (will vary by internship discipline).

• Collaborate with data scientists and analysts to understand data requirements and create mapping documents.

• Explore ways to optimize data pipelines and systems for performance and scalability.

• Participate in troubleshooting data pipeline and system issues.

• Create and maintain documentation of data architecture, data pipelines, and data systems.

• Good problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Ready to take on tasks and open to learn.

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