Data Engineering Intern

CNA Financial

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Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Employment: Full-time
Posted: 47 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $152k

$94k $210k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $105,030–$198,900.

Based on 240 similar postings.

Employer

About CNA Financial

CNA Financial is a Chicago-based commercial property and casualty insurance company, offering business insurance and risk-management services to companies across the United States and internationally.

CNA Financial currently has 13 open roles on FindRole.

Listed pay typically runs $93,000–$141,000 across 9 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Data Engineering Intern

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The Technology Internship Program (Data Engineering) offers students a ten to twelve week training program focused on the design, development, and integration of high-priority data applications. Interns participate in the full software development lifecycle, building large-scale data processing systems and data lakes optimized for computational and storage efficiency. Key responsibilities include designing complex physical data models and cloud-based data lake constructs using SQL and NoSQL database systems. Candidates must possess coding proficiency in Python, R, or SQL, along with a working knowledge of relational database concepts. The role involves applying technical education to real-world insurance industry problems within a hybrid work environment. Participants will utilize Google Cloud Platform technologies while learning Agile programming methodologies under the guidance of experienced developers and dedicated mentors.

Skills

Google Cloud Platform Python SQL R NoSQL Data Engineering Data Modeling Agile Data Lakes

What you'll do

Design, develop, and integrate strategic, high-priority data applications across the software development lifecycle.
Build large-scale data processing systems and data lakes on the Google Cloud Platform.
Optimize data systems for both computational and storage efficiency.
Apply technical knowledge of data modeling and best engineering practices to projects.
Design complex physical data models and cloud-based data lake constructs.
Manage SQL and NoSQL database systems.
Practice Agile programming methodology under the guidance of experienced developers.

What we're looking for

Must be a sophomore, junior, or senior undergraduate or a first-year Master's student.
Must be pursuing a degree in Computer Science, Information Technology, or a related field.
A minimum 3.00 GPA is required for both overall and major requirements.
Must have working knowledge of relational database concepts.
Must have 1+ years of coding proficiency in at least one programming language such as Python, R, or SQL.
Some previous work experience (preferred).
Demonstrated leadership ability, strong organizational skills, and excellent interpersonal and communication skills.

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