Co-Op Data Engineer - Data Services 2027

During your Co-Op, you can build data science and AI skills by contributing to client projects that use statistics, machine learning, data science, GenAI, and agentic AI solution patterns. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready analytical and AI solution components with guidance from IBM teams. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll strengthen technical, analytical, and consulting skills while learning responsible AI practices, and you could advance to our full-time Associates program based on results and performance.

Support strategic consulting initiatives focused on Enterprise Application Integration (EAI). Assist in analyzing business processes, integration challenges, and technology strategies while working with consultants and stakeholders to identify opportunities for improving business outcomes through connected systems and digital transformation.

Key Responsibilities:

• Conduct research on integration trends, APIs, middleware, cloud platforms, and emerging technologies.
• Support assessments of business processes and application landscapes.
• Assist in developing strategy recommendations, presentations, and client deliverables.
• Analyze data and identify integration opportunities across enterprise systems.
• Participate in workshops, stakeholder interviews, and requirements gathering sessions.
• Contribute to business cases, roadmaps, and transformation strategies.
• Support project planning and change management activities.
• Co-op Schedule: Year-long co-op at Penn State University Park, starting May 2027; up to 20 hrs/week during classes and 40 hrs/week during academic breaks.