Associate Data Engineer - AI & Analytics - 2027

As an Associate Data Engineer at IBM, you'll help organizations unlock the value of their data to make smarter decisions, improve business outcomes, and accelerate innovation through Artificial Intelligence and advanced analytics. As part of our AI & Analytics practice, you'll work on projects that leverage data, machine learning, Generative AI, and analytics to solve complex business challenges. No two projects are exactly alike - you could support healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing clients. Work side-by-side with experienced consultants, data scientists, AI engineers, data engineers, and business professionals to develop innovative solutions for real clients.

Through mentorship, certifications, structured learning, and hands-on client experiences, you'll build the skills needed to grow your career in data and AI consulting.

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.

Bring your curiosity. Grow your skills. Build what's next, like an IBMer. 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 - it’s the best way to get a centralized view of which roles you have active applications against.

• Currently completing or recently completed a bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
• 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 gained through coursework, projects, research, certifications, IBM SkillsBuild, or self-directed learning.
• Exposure to cloud technologies, modern data platforms, or data architectures through coursework, labs, projects, hackathons, or internships.
• Ability to communicate technical findings and data-driven insights to both technical and business audiences.
• Demonstrated application of programming, data, or analytical skills through coursework, projects, research, internships, hackathons, or personal learning.
• 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.