Intern Data Engineer, AI & Analytics

IBM

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: —
Employment: Intern
Posted: 26 days ago
Freshness: Confirmed live yesterday

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How this pay compares to similar roles

Similar $153k

$88k most similar roles pay here $204k

This listing doesn't post a salary. Most similar roles pay $113,300–$192,625.

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 506 open roles on FindRole.

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

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At a glance

TL;DR · Intern Data Engineer, AI & Analytics

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Intern Data Engineers - AI & Analytics - 2027 is a role within the IBM Consulting FutureNow Center where you will join the AI, Analytics, Automation & Data Services practice. You will work alongside experienced professionals to help organizations transform data into actionable insights, automate business processes, and unlock the power of Artificial Intelligence through enterprise technology solutions. Your daily responsibilities include designing, building, testing, and maintaining data pipelines, as well as performing data preparation, transformation, and validation for analytics and AI initiatives. The role requires a foundation in programming concepts using Python, SQL, or Java, along with knowledge of databases, data structures, and cloud platforms. You will solve complex business challenges by developing scalable data environments and managing both structured and unstructured data to improve operational efficiency across various industries like healthcare and financial services.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

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

What you'll do

Design, build, test, and maintain data pipelines and integration processes.
Develop and support modern data platforms to improve business performance and operational efficiency.
Perform data preparation, transformation, validation, and quality activities for AI and analytics solutions.
Analyze structured and unstructured data to identify trends and generate actionable insights.
Support the development of AI-driven solutions and automated business processes for diverse clients.
Test and validate data engineering and analytics solutions to ensure scalable environments.
Assist in modernizing data platforms using cloud technologies and enterprise architectures.

What we're looking for

High School Diploma or GED.
Bachelor's Degree (preferred).
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, hackathons, or other practical learning.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and emerging technologies (required); familiarity with ETL/ELT concepts and modern data architectures (preferred).

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