Associate Data Engineer 2027 – AI & Analytics

IBM; Lansing (MI); On-site; USD 52,000 - 78,000; Full time

Job summary

IBM Consulting FutureNow Centers in the United States are seeking an Associate Data Engineer to transform data into actionable insights for diverse clients. You’ll work with data, analytics, and AI technologies, collaborating with consultants, data scientists, and business teams on real-world projects.

You’ll gain hands-on client experience, mentorship, and access to certifications and career coaching as you build a career in data and AI consulting at IBM.

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.
• 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.

Responsibilities

• As an Associate Data Engineer, help organizations transform data into actionable insights to improve decision-making and innovation.
• Work with data, analytics, AI technologies to uncover insights, performance improvements, and business value.
• Collaborate with experienced consultants, data engineers, data scientists, AI specialists, and business professionals.
• Engage in mentorship, structured learning, and hands-on client experiences to develop data and AI consulting skills.

Skills

Python

SQL

Java

AI fundamentals

Cloud concepts

Education

Bachelor's Degree

Job description

Introduction

In this role, you'll work in one of our IBM Consulting FutureNow Centers, where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. As an Associate at IBM, you'll work with clients to help solve real-world business challenges through technology, innovation, and consulting. From day one, you'll gain hands-on experience on real client projects while receiving professional and technical mentorship, career coaching, and access to certification opportunities. At IBM, AI is part of how we deliver solutions, accelerate development, analyze data, automate business processes, and help clients solve complex business challenges. You'll also develop the consulting, communication, and collaboration skills needed to work effectively with clients and multidisciplinary teams throughout your career.

Your Role And Responsibilities

As an Associate Data Engineer at IBM, you'll help organizations transform data into actionable insights that improve decision-making, accelerate innovation, and solve complex business challenges. As part of our AI & Analytics practice, you'll work with data, analytics, and Artificial Intelligence technologies to help clients uncover insights, improve performance, and create business value. 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 engineers, data scientists, AI specialists, and business professionals. Through mentorship, certifications, structured learning, and hands-on client experiences, you'll develop the skills needed to build a successful 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.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• 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.

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.