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IBM Data Engineer Intern – IBM Data Squad in GUADALAJARA, Mexico

Introduction

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.

Your role and responsibilities

As a Data Engineer Intern, you will:

  • Assist in designing, developing, and supporting data pipelines and ETL/ELT processes

  • Work with structured and semi‑structured data from databases, files, and APIs

  • Support data quality, validation, and monitoring efforts

  • Help troubleshoot and optimize existing data workflows

  • Collaborate with Data Squad engineers, analysts, and business partners

  • Document technical processes, data flows, and best practices

  • Participate in agile ceremonies, code reviews, and team learning sessions

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What You’ll Learn at IBM

How enterprise data engineering supports analytics, AI, and business intelligence

Best practices for building scalable, reliable, and secure data pipelines

  • Exposure to IBM’s data platforms, cloud technologies, and engineering tools

  • Agile development practices in a global, collaborative environment

  • Professional skills such as communication, ownership, and problem‑solving

Required technical and professional expertise

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field

Foundational programming skills in Python, SQL, or similar languages

Basic understanding of databases and data concepts

Strong analytical and problem‑solving skills

  • High English level (B2-C1)

  • Ability to work full-time for 6 to 12 months

  • Eagerness to learn and collaborate in a team environment

Preferred technical and professional experience

Coursework or academic projects related to data engineering, databases, or analytics

  • Exposure to cloud platforms such as IBM Cloud, Azure, AWS, or GCP

  • Familiarity with data pipelines, ETL processes, or orchestration concepts

  • Experience using Git or other version control tools

  • Internship, research, or personal projects involving data

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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