Associate Data Engineer - AI & Analytics - 2027

IBM • MONROE, LA

2d

About The Position

As an Associate Data Engineer at IBM, you will 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 the AI & Analytics practice, you will work on projects using data, machine learning, Generative AI, and analytics to solve complex business challenges. Projects may support clients in healthcare, financial services, public sector, federal sector, automotive, energy, retail, industrial, or manufacturing. You will collaborate with experienced consultants, data scientists, AI engineers, data engineers, and business professionals to develop solutions for clients. Through mentorship, certifications, structured learning, and hands-on client experiences, you will build skills for a career in data and AI consulting. The role is intended for people with a strong foundation, a growth mindset, and a desire to learn and make an impact.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Help organizations use data to make smarter decisions, improve business outcomes, and accelerate innovation through AI and advanced analytics.
• Contribute to client projects involving data, machine learning, Generative AI, and analytics.
• Collaborate with consultants, data scientists, AI engineers, data engineers, and business professionals to develop solutions for clients.
• Participate in mentorship, certifications, structured learning, and hands-on client experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level