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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Engineer - AI & Analytics - 2027 - **Company:** IBM - **Location:** Buffalo, NY, United States - **Contract:** Internship / Graduate position - **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Data Analysis, Cloud Computing, Cloud Database, Information Systems, Computer Programming, Databases, Data Architecture, Data Infrastructure, Data Structures, Data Visualization, Python (Programming Language), Machine Learning, SQL Databases, Data Processing, Generative AI, Information Technology, Data Analytics, Programming Languages - **Published:** August 15, 2026 - **Apply:** https://dejobs.org/x/x/FC827AF53F63472F848DD65EAB6538D0/job/ ## About the Role 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 with the ability to solve data-driven business problems. * Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data-driven decision-making concepts gained through coursework, projects, research, certifications, IBM Skills Build, or self-directed learning. * Experience exploring 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 is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Can This Elephant Dance? 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