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# 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:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/associate-data-engineer-ai-analytics-2027-buffalo-ny--c9777ee2-369c-40d7-90d8-c407a7c171d2

## About the Role

Artificial Intelligence (AI), Consulting, IBM Product Family, Technical Delivery, Career Counseling, Mentoring, Team Player, Business Processes, Artificial Intelligence (AI), Data Analysis, 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.