Data Engineer Intern 2027

About the role

Launch your career like an IBMer. As an IBM intern, you won't just gain experience—you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, working alongside experienced IBMers who are invested in your success. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.

Responsibilities

During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an opportunity to build a compelling portfolio, acquire new skills, and gain insights into diverse industries.

• Mentored Analytical Support: Receive mentorship from professionals in science, engineering, and consulting, applying analytical rigor and statistical methods to predict behaviors.
• Data Integrations: Develop skills in writing efficient and reusable programs to cleanse, integrate, and model data. Evaluate model results contributing to data-driven insights.
• Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
• Tech-Driven Data Transformer: Utilize programming languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration.

Requirements

• Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (Preferred majors: Data Science, Data Engineering, MIS, Business Analytics, Computer Engineering, Computer Science, Statistics, Mathematics, Engineering, Systems Engineering, Industrial Engineering, or related).
• Strong interpersonal skills that enhance collaboration and relationship building while managing dynamic workloads in an agile environment.
• Initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
• Demonstrated leadership experience and ability to communicate effectively through active listening, adaptability, and readiness to take ownership of tasks and challenges.
• Familiarity with one or more scripting languages (Python preferred) or a proven computer science foundation.
• Willingness to travel as needed.

Preferred Qualifications

• Familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications.
• General familiarity with databases, data-engineering tools (SQL, Spark), and cloud platforms (e.g., IBM Cloud, Azure, AWS).
• Experience with NLP/LLM/GenAI is a plus.
• Exposure to programming languages (e.g., JavaScript, SQL, Python) and basic understanding of Hybrid Cloud (IBM Cloud, AWS, Azure, Snowflake, Databricks, etc.) and AI concepts.