Associate Data Engineer 2027, AI & Analytics

About the Role

• Work in an IBM Consulting FutureNow Center delivering deep technical and industry expertise to public and private sector clients.
• Gain hands-on experience on client projects, receiving mentorship, career coaching, and access to certification opportunities.
• Develop consulting, communication, and collaboration skills.
• AI is part of how IBM delivers solutions, accelerates development, analyzes data, automates business processes, and solves complex business challenges.

Your Role and Responsibilities

• Help organizations transform data into actionable insights to improve decision-making, accelerate innovation, and solve complex business challenges.
• Work with data, analytics, and Artificial Intelligence technologies to help clients uncover insights, improve performance, and create business value.
• Support clients across various sectors (healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing).
• Collaborate with experienced consultants, data engineers, data scientists, AI specialists, and business professionals.
• Develop skills for a career in data and AI consulting through mentorship, certifications, structured learning, and hands-on client experiences.

Requirements & Tech Stack

• Foundational knowledge of programming languages such as Python, SQL, Java, or similar technologies.
• Foundational understanding of databases, data structures, data processing, and analytics concepts.
• Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts.
• Exposure to cloud technologies, modern data platforms, or data architectures.
• Ability to communicate technical findings and data-driven insights to both technical and business audiences.
• Demonstrated application of programming, data, or analytical skills.

Qualifications

• Currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.

Preferred Technical and Professional Experience

• Exposure to analytics, business intelligence, Artificial Intelligence, or cloud-based data projects.
• Familiarity with data visualization tools, machine learning concepts, cloud platforms, or modern analytics solutions.