As an Intern Data Engineer at IBM, you will work alongside experienced professionals to help organizations transform data into actionable insights and automate business processes. This internship is part of the IBM Consulting FutureNow Center, focusing on AI, Analytics, Automation, and Data Services. You will gain hands-on experience in data engineering and develop skills that prepare you for a future career in data engineering and enterprise consulting. The role offers exposure to modern data platforms and technologies while collaborating with a diverse team.

• 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 and experience with languages such as Python, SQL, Java, or similar technologies.
• 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 or projects.

• Support data engineering services and AI initiatives that improve business performance and operational efficiency.
• Assist with designing, building, testing, and maintaining data pipelines and modern data platforms.
• Contribute to data preparation, transformation, validation, and quality activities that support analytics and AI solutions.
• Analyze structured and unstructured data to identify trends and generate insights for business decision-making.
• Collaborate with cross-functional teams while gaining exposure to cloud platforms and enterprise data architectures.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.