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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Data Engineer Intern 2027 is a role within the IBM Consulting team where interns contribute to real client projects across diverse industries. The position involves performing mentored analytical support using statistical methods to predict behaviors, developing data integrations by writing efficient programs to cleanse and model data, and building data pipelines to extract and transform information from repositories for various consumers. Candidates will work with technologies including Python, SQL, Spark, and cloud platforms such as IBM Cloud, Azure, and AWS. The role also involves exposure to tools like Snowflake and Databricks, along with concepts in NLP, LLM, GenAI, and Hybrid Cloud. Successful candidates must possess strong interpersonal skills and a technical foundation in computer science or related quantitative fields to solve complex data-driven problems for clients in a consulting environment.

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 JavaScript Data Engineering 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 based on data.
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 cloud platforms and ETL tools to manage and move data to consumers.
Communicate technical findings and analytical results to both technical and non-technical audiences.
Evaluate model results to provide actionable, data-driven insights for clients.

What we're looking for

High School Diploma or GED required.
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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