Intern Data Engineer, Data Services

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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Salary context

How this pay compares to similar roles

Similar $167k

$112k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $122,303–$211,200.

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.

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At a glance

TL;DR · Intern Data Engineer, Data Services

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Intern Data Engineer - Data Services - 2027 is a role within the AI, Analytics, Automation & Data Services practice at an IBM Consulting FutureNow Center. In this position, you will work alongside experienced professionals to help organizations transform data into actionable insights and automate business processes 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 AI-driven initiatives. You will utilize skills in Python, SQL, Java, and other programming languages while working with databases, cloud platforms, and modern data architectures. The role focuses on solving complex business challenges by developing scalable data pipelines and advanced analytics to improve decision-making across various industries including healthcare, financial services, retail, manufacturing, government, and energy.

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 Data Structures Automation

What you'll do

Design, build, test, and maintain data pipelines and integration processes.
Support data engineering services and AI initiatives to improve business performance and operational efficiency.
Perform data preparation, transformation, validation, and quality activities for analytics and automation solutions.
Analyze structured and unstructured data to identify trends and generate actionable insights.
Maintain and support modern data platforms and enterprise data architectures.
Test and validate data engineering and analytics solutions to ensure scalable environments.
Support the development of AI-driven solutions to improve business decision-making.

What we're looking for

High School Diploma or GED required.
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.
Basic understanding of programming concepts and experience with languages such as Python, SQL, Java, or similar technologies.
Basic understanding of databases, data structures, data processing, analytics, and how data supports business decision-making.
Experience in data preparation, transformation, visualization, or problem-solving through coursework, projects, research, hackathons, or other practical learning.
Awareness of Artificial Intelligence, Machine Learning, Generative AI, and their impact on business and digital transformation.
Familiarity with ETL/ELT concepts, cloud platforms, machine learning workflows, or modern data architectures (preferred).

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