Intern Data Engineer, AI & Analytics

IBM

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Monroe
Employment: Intern
Posted: 71 days ago
Freshness: Confirmed live today
Nearby: 35 roles within 25 mi

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How this pay compares to similar roles

Similar $160k

$95k $222k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $109,425–$209,898.

Based on 240 similar postings.

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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 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Intern Data Engineer, AI & Analytics

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JOB TITLE: Intern Data Engineer - AI & Analytics - 2027 As an Intern Data Engineer within the AI, Analytics, Automation & Data Services practice, you will join the IBM Consulting FutureNow Center team. You will support organizations in transforming data into actionable insights by designing, building, testing, and maintaining data pipelines and modern data platforms. Your daily work involves data preparation, transformation, validation, and quality activities to support analytics, automation, and AI-driven solutions. You will utilize skills in Python, SQL, and Java to analyze structured and unstructured data for business decision-making. The role focuses on solving complex business challenges by modernizing data platforms, enabling advanced analytics, and developing scalable enterprise data architectures. You will gain hands-on experience with cloud technologies, machine learning workflows, and ETL/ELT concepts to drive digital transformation across various industries.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

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

What you'll do

Design, build, test, and maintain data pipelines and modern data platforms.
Perform data preparation, transformation, validation, and quality assurance for AI solutions.
Analyze structured and unstructured data to identify trends and generate business insights.
Support data engineering services to improve operational efficiency and data-driven decision-making.
Assist in developing and supporting enterprise AI-driven solutions and analytics.
Validate and test data engineering solutions to build trusted, scalable data environments.

What we're looking for

High School Diploma/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, analytics, and how data supports business decision-making.
Exposure to data preparation, transformation, visualization, analytics, or business problem-solving through coursework, projects, research, or internships.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies.

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