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.

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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, 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 collaborate with data specialists and engineers to transform raw data into actionable insights, automate business processes, and develop AI-driven solutions for diverse clients in sectors like healthcare and finance. Your daily responsibilities include designing, building, testing, and maintaining data pipelines, as well as performing data preparation, transformation, and validation tasks. You will work with modern data platforms, cloud technologies, and enterprise data architectures to solve complex business challenges. The role requires proficiency in programming concepts using Python, SQL, or Java, along with a foundational understanding of databases, data structures, ETL/ELT processes, and machine learning workflows to support large-scale digital transformation initiatives.

What does a Data Engineer earn?

Median $183138 from 214 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 Pipelines Data Architecture Analytics 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.
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.
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.
Familiarity with ETL/ELT concepts, cloud platforms, machine learning workflows, or modern data architectures (preferred).

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