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Data Engineering Intern

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ID de Requisición
J2465581
Ubicación
St. Petersburg/Tampa, Florida, United States of America
Categoría
Servicios Administrativos
Publicado
09/23/2026
Tipo
Tiempo Completo

En Jabil (NYSE: JBL), nos enorgullece ser un socio de confianza para las principales marcas del mundo, ofreciendo soluciones integrales de ingeniería, cadena de suministro y manufactura. Con 60 años de experiencia en diversos sectores y una amplia red de más de 100 centros en todo el mundo, Jabil combina su alcance global con su experiencia local para ofrecer soluciones escalables y personalizadas. Nuestro compromiso va más allá del éxito empresarial, ya que nos esforzamos por crear procesos sostenibles que minimicen el impacto medioambiental y fomenten comunidades dinámicas y diversas en todo el mundo.

Job Description

Summary of Program

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.


Job Summary

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.


Education & Experience Currently pursuing or recently completed a diploma, undergraduate, or postgraduate program in Computer Science, Data Science, Information Systems, or other relevant degree. Prior academic, project, or internship exposure is an advantage but not mandatory.


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.


Required Skills

  • 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.

Preferred Skills

  • 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

BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact the Federal Bureau of Investigations internet crime hotline (www.ic3.gov), the Federal Trade Commission identity theft hotline (www.identitytheft.gov) and/or your local police department. Any scam job listings should be reported to whatever website it was posted in.

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, or any other characteristic protected by law.

Accommodation Statement

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com or calling 727-803-7988 with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail or phone number. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

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