Data Engineer Intern

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 $151k

$93k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $104,000–$198,450.

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 · Data Engineer Intern

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The Data Engineer Intern 2027 joins a consulting team to work on diverse client projects across various industries. In this role, you will build data pipelines to extract and transform data from repositories for consumers, develop programs to cleanse and model data, and apply statistical methods to predict behaviors. You will also communicate complex findings to both technical and non-technical audiences. The position requires a quantitative background in fields like Computer Science or Statistics and proficiency in scripting languages such as Python, SQL, or JavaScript. You will utilize tools including Spark, ETL systems, and cloud platforms like IBM Cloud, Azure, or AWS. Experience with NLP, LLM, GenAI, and hybrid cloud environments is also relevant. The work focuses on solving data integration challenges and providing data-driven insights for professional clients.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Python SQL Spark IBM Cloud AWS Azure Snowflake Databricks ETL NLP LLM GenAI Hybrid Cloud Data Engineering JavaScript Statistical Analysis Data Mining Agile

What you'll do

Contribute to real client projects across diverse industries to build a professional portfolio.
Apply analytical rigor and statistical methods to predict behaviors and provide data-driven insights.
Write efficient, reusable programs to cleanse, integrate, and model complex datasets.
Build data pipelines using Python to extract and transform data from various repositories.
Utilize ETL tools and cloud platforms to manage and move data to end consumers.
Communicate technical findings and analytical results to both technical and non-technical audiences.
Manage dynamic workloads in an agile environment while taking ownership of assigned tasks.

What we're looking for

High School Diploma or GED.
Bachelor's Degree (preferred).
Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Strong interpersonal skills for collaboration and managing dynamic workloads in an agile environment.
Demonstrated leadership experience and ability to communicate effectively through active listening.
Familiarity with one or more scripting languages (Python preferred) or a proven computer science foundation.
Willingness to travel as needed.
Experience with statistical analysis, data mining, databases, cloud platforms, or AI concepts (preferred).

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