Data Engineer Intern: Build AI-Ready Pipelines

IBM; Chicago (IL); On-site; USD 34,000 - 48,000; Full time

Job summary

IBM internship program offers hands-on data engineering experience working on client projects across analytics, cloud data platforms, AI adoption, and GenAI. You’ll contribute to data pipelines, APIs, and governed AI-ready data, while developing technical expertise and consulting skills under mentorship.

Ideal candidates are pursuing quantitative or technical degrees, with programming familiarity (Python/SQL/Java/Scala) and a growth mindset.

Qualifications

• Currently pursuing a quantitative or technical degree in Computer Science, Data Science, MIS, Business Analytics, Systems Engineering, Industrial Engineering, Mathematics, Engineering, AI/ML, or a related field.
• Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
• Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
• Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
• Familiarity with programming or query languages such as Python, SQL, Java, Scala, JavaScript, or similar, and interest in data engineering concepts such as pipelines, databases, APIs, ETL/ELT, data modeling, or data quality.
• Willingness to travel as needed.

Responsibilities

• Build data engineering skills by contributing to client projects that use modern data platforms, cloud services, analytics, ML, GenAI, and agentic AI solution patterns.
• Contribute to data pipelines, data products, APIs, retrieval assets, and governed AI-ready data with guidance from IBM teams.
• Develop and maintain data ingestion, transformation, and verification processes to support analytics and client deliverables.
• Share findings and communicate data-driven insights to technical and non-technical stakeholders.

Skills

Python

SQL

Java

Scala

JavaScript

Data engineering concepts

Analytical thinking

Agile teamwork

Communication

Education

Bachelor's Degree in a quantitative/technical field

Tools

Spark

Kafka

Airflow

dbt

Databricks

Snowflake

Delta Lake

Linux

APIs

Job description

IBM internship program offers hands-on data engineering experience working on client projects across analytics, cloud data platforms, AI adoption, and GenAI. You’ll contribute to data pipelines, APIs, and governed AI-ready data, while developing technical expertise and consulting skills under mentorship.

Ideal candidates are pursuing quantitative or technical degrees, with programming familiarity (Python/SQL/Java/Scala) and a growth mindset.