Data Engineer Intern: Build Pipelines & Cloud Skills

IBM; San Diego (CA); On-site; USD 34,000 - 44,000; Full time

Job summary

IBM is offering an internship in San Diego where you will work on client projects and build a strong portfolio while learning through mentoring and coaching. You will develop technical expertise in data analytics, data integration, and communication of insights to diverse audiences.

As part of the program, you may advance to the full-time Associates program based on performance. The role emphasizes continuous learning, leadership, and practical growth within a collaborative IBM culture.

Qualifications

• Pursuing a quantitative degree in CS, statistics, math, engineering, or related field (preferred majors listed).
• Strong interpersonal skills to collaborate in an agile environment.
• Active curiosity with growth mindset and willingness to learn and own tasks.
• Proven leadership or ownership in projects and effective communication.
• Familiarity with Python or other scripting languages, plus a readiness to travel.

Responsibilities

• Work on client projects, building a compelling internship portfolio and gaining professional experience.
• Contribute to data-driven insights by cleansing, integrating, and modeling data.
• Communicate analytical results clearly to technical and non-technical audiences.
• Develop data pipelines using Python and gain exposure to cloud platforms and ETL tools.

Skills

Python

SQL

JavaScript

Data analysis

Communication

Education

Bachelor's Degree

Tools

Spark

IBM Cloud

ETL tools

NLP/GenAI

Job description

IBM is offering an internship in San Diego where you will work on client projects and build a strong portfolio while learning through mentoring and coaching. You will develop technical expertise in data analytics, data integration, and communication of insights to diverse audiences.

As part of the program, you may advance to the full-time Associates program based on performance. The role emphasizes continuous learning, leadership, and practical growth within a collaborative IBM culture.