Data Engineering Intern

Jabil • Tampa, FL

6d

About The Position

Jabil’s Summer Internship Program was recognized as one of the Top 100 Internship Programs in the country for 2026 by WayUp. This is the result of a holistic and engaging experience that summer interns at Jabil experience. As a result, interns that are a part of this program for summer 2027 will get to engage with members of Jabil’s leadership team and participate in events related to professional development, networking & socializing, and community engagement. In addition, interns will have the opportunity to work with each other in committees, be assigned a mentor, tour some of Jabil’s facilities and much more! If this sounds like a program you want to be a part of and you want to work for a company that strives to make EVERYTHING BETTER and ANYTHING POSSIBLE, then apply today.

The Data Engineering Intern will support the North America Operations data management strategy by helping strengthen the data foundation behind regional KPI reporting, operational analytics, and decision-making. This role is focused on how operational data is sourced, structured, validated, documented, and prepared for reporting.

The intern will work closely with the Operations Data Management Lead and cross-functional partners across Operations, IT, Engineering, and site teams to support data quality, KPI source mapping, metric catalog development, and foundational data model support.

This is a good fit for a student or early-career candidate with strong technical curiosity, SQL/data skills, and an interest in learning how manufacturing operations data is used to improve business performance.

Requirements

• Currently pursuing or recently completed a diploma, undergraduate, or postgraduate program in Computer Science, Data Science, Information Systems, or other relevant degree.
• Strong interest in data management, analytics, reporting, or manufacturing operations.
• Foundational SQL skills, including joins, filters, aggregations, and basic data validation.
• Strong Excel skills and comfort working with structured datasets.
• Strong attention to detail and ability to identify data inconsistencies.
• Good documentation and communication skills.
• Ability to work with both technical and non-technical stakeholders.

Nice To Haves

• Prior academic, project, or internship exposure is an advantage but not mandatory.
• Exposure to Snowflake or another cloud data warehouse.
• Familiarity with ETL/ELT concepts, data pipelines, or data lake environments.
• Experience with Python, Power Query, dbt, Alteryx, Azure Data Factory, Informatica, or similar tools.
• Exposure to APIs, JSON, flat files, or database connections.
• Understanding of data modeling concepts such as fact tables, dimension tables, relationships, and data grain.
• Familiarity with BI tools such as PowerBI or Tableau

Responsibilities

• Support daily activities and assigned tasks under supervision.
• Assist with documentation, coordination, data handling, and routine activities as required.
• Participate in learning standard processes, safety practices, and quality requirements.
• Contribute to project-related work and continuous improvement initiatives while following established policies and timelines.

What This Job Offers

• Career Level: Intern
• Education Level: Associate degree