Internship 2027: Data Engineer (AI & Analytics)

About the Role

As an IBM Consulting FutureNow Center Intern, you'll collaborate with experienced professionals to tackle real business and technology challenges for clients worldwide. You'll gain practical experience, build in-demand technical and professional skills, and contribute to meaningful projects while learning in a collaborative, team-based environment.

This internship provides hands-on experience that prepares students for a potential full-time career with IBM Consulting after graduation. As an Intern Data Engineer, you'll help organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence (AI) through enterprise technology solutions. You'll work alongside seasoned IBM professionals while developing practical technical, analytical, and problem-solving skills for a future in data engineering, AI, and enterprise consulting.

As part of this opportunity, you will be aligned to the AI, Analytics, Automation & Data Services practice, which focuses on modernizing data platforms, building scalable data pipelines, enabling advanced analytics, automating business processes, and developing AI-driven solutions that improve business performance and decision-making.

Data is the foundation of AI and digital transformation. During your internship, you'll gain exposure to how organizations use modern data platforms, cloud technologies, automation, analytics, and AI to solve complex business challenges and deliver meaningful outcomes. No two projects are exactly alike; you may contribute to projects across industries including healthcare, financial services, retail, manufacturing, government, energy, and more.

Throughout your internship, you'll collaborate with data specialists, AI experts, business professionals, and technology leaders while learning how organizations solve complex challenges through enterprise data and AI solutions. Through mentorship, structured learning, hands-on projects, and AI-enabled tools, you'll strengthen your technical capabilities, analytical thinking, and professional skills, building a strong foundation for a future career at IBM.

What You'll Do

• Support data engineering services and AI initiatives that improve business performance, operational efficiency, and data-driven decision-making.
• Assist experienced team members with designing, building, testing, and maintaining data pipelines, data integration processes, and modern data platforms.
• Contribute to data preparation, transformation, validation, and quality activities that support analytics, automation, and AI solutions.
• Analyze structured and unstructured data to identify trends, generate insights, and support business decision-making.
• Collaborate with cross-functional business and technology teams while gaining exposure to cloud platforms, enterprise data architectures, analytics, and AI technologies.
• Assist with testing, validating, and supporting data engineering and analytics solutions while learning how organizations build trusted, scalable data environments.
• Participate in project meetings, workshops, and professional development opportunities while building communication, teamwork, and consulting skills.

Who You Are

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly for a centralized view of your active applications.

The primary internship program dates are May to July 2027 (10 weeks).

Basic Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
• Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
• Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies through coursework, projects, research, internships, or personal learning.
• Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
• Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, academic projects, research, hackathons, student organizations, personal learning, certifications, IBM SkillsBuild, or other practical learning opportunities.
• Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies, along with their impact on business and digital transformation.

You don't need to be an expert to get started. We're looking for individuals with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Preferred Qualifications

• Exposure to data engineering, analytics, automation, Artificial Intelligence, cloud technologies, or enterprise data platforms through coursework, student projects, research, hackathons, or internship experiences.
• Familiarity with databases, SQL, ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures.
• Interest in Artificial Intelligence, Generative AI, data-driven decision-making, consulting, and continuous learning.
• Ability to collaborate effectively with teammates while supporting data modernization, analytics, and enterprise AI transformation initiatives.