Data Engineer Intern: AI-Driven Analytics & Modern Data

IBM; Baton Rouge (LA); On-site; USD 18,000 - 27,000; Full time

Job summary

IBM offers an internship for an Intern Data Engineer at the FutureNow Center in Baton Rouge. You will gain hands-on experience, collaborate with IBM professionals, and contribute to data‑driven solutions that impact clients worldwide.

You will engage with the AI, Analytics, Automation & Data Services practice, building data pipelines, exploring cloud platforms, and developing AI‑driven solutions to enhance business performance.

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Interest in data engineering, AI, analytics, automation, or cloud technologies.
• Foundational programming knowledge in Python, SQL, or Java.
• Basic understanding of databases and data processing.
• Familiarity with data preparation, transformation, and analytics through coursework or projects.
• Awareness of AI, ML, Generative AI and their business impact.

Responsibilities

• Support data engineering services and AI initiatives to improve business outcomes.
• Assist with designing, building, testing, and maintaining data pipelines and modern data platforms.
• Contribute to data preparation, transformation, validation, and quality activities.
• Analyze structured and unstructured data to identify trends and insights.
• Collaborate with cross-functional teams and learn cloud platforms and data architectures.
• Participate in meetings, workshops, and professional development.

Skills

Data engineering

AI & analytics

Cloud technologies

Python

SQL

Team collaboration

Problem solving

Education

Bachelor's degree (Computer Science/Data Science/related)

Tools

SQL

ETL/ELT

Databases

Job description

IBM offers an internship for an Intern Data Engineer at the FutureNow Center in Baton Rouge. You will gain hands-on experience, collaborate with IBM professionals, and contribute to data‑driven solutions that impact clients worldwide.

You will engage with the AI, Analytics, Automation & Data Services practice, building data pipelines, exploring cloud platforms, and developing AI‑driven solutions to enhance business performance.