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Associate Data Engineer 2027 – AI & Analytics

IBM · Lansing, Michigan, United States · Entry Level · Posted 2026-08-15

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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. 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. 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. Required education Bachelor's Degree 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. IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do