Intern Data Engineer, AI & Analytics

IBM

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: —
Employment: Intern
Posted: 24 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $159k

$99k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $116,425–$201,723.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Intern Data Engineer, AI & Analytics

Role Posting Log in to save

Intern Data Engineer - AI & Analytics - 2027: You will join the AI, Analytics, Automation & Data Services team within an IBM Consulting FutureNow Center to help organizations transform data into actionable insights and automate business processes. In this role, you will collaborate with cross-functional teams to design, build, test, and maintain data pipelines, manage integration processes, and develop AI-driven solutions on modern data platforms. You will perform data preparation, transformation, and validation while analyzing structured and unstructured data to identify trends for decision-making. The work involves solving complex business challenges through enterprise data architectures and cloud technologies. Required skills include a basic understanding of programming concepts using Python, SQL, or Java, along with knowledge of databases, data structures, machine learning workflows, and various analytics tools to support large-scale digital transformation initiatives across diverse industries.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

Skills

Python SQL Java Artificial Intelligence Machine Learning Generative AI Data Engineering ETL ELT Data Visualization Data Pipelines Analytics Automation Data Structures

What you'll do

Design, build, test, and maintain data pipelines and integration processes.
Develop and support AI initiatives to improve business performance and operational efficiency.
Perform data preparation, transformation, validation, and quality assurance for analytics solutions.
Analyze structured and unstructured data to identify trends and generate actionable insights.
Support the development of scalable data platforms and modern data architectures.
Test and validate data engineering and analytics solutions to ensure reliable environments.
Assist in automating business processes using enterprise technology and AI tools.

What we're looking for

High School Diploma or GED.
Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, Analytics, or a related field.
Interest in data engineering, Artificial Intelligence, analytics, automation, cloud technologies, or digital transformation concepts.
Basic understanding of programming concepts with exposure to Python, SQL, Java, or similar technologies.
Basic understanding of databases, data structures, data processing, and how data supports business decision-making.
Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, projects, research, or other practical learning.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies.
Familiarity with ETL/ELT concepts, data visualization tools, cloud platforms, machine learning workflows, or modern data architectures (preferred).

Save