Data Engineer Intern

The Hartford

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: Columbus, OH
Employment: Intern
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $153k

$92k most similar roles pay here $214k

This listing doesn't post a salary. Most similar roles pay $104,000–$202,561.

Based on 240 similar postings.

Employer

About The Hartford

The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services

The Hartford currently has 45 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 37 roles with salary data.

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At a glance

TL;DR · Data Engineer Intern

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Tech & Data Program Summer 2027 - Data Engineer Intern is a student internship within the Technology, Data, AI, and Operations organization. In this role, you will build and support data pipelines, platforms, and processes to transform raw information into reliable assets for analytics, reporting, automation, and AI-driven insights. You will work with both structured and unstructured data to ensure quality, consistency, and performance while developing scalable solutions for the insurance industry. The position requires proficiency in Python, SQL, PL/SQL, Snowflake, GitHub, and various cloud platforms like AWS, Azure, or Google Cloud. You will also engage with ETL/ELT processes, data modeling, and tools such as Tableau to support machine learning and generative AI capabilities. This role focuses on creating the technical infrastructure necessary for advanced analytics and informed business decision-making.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Python SQL PL/SQL Snowflake GitHub ETL ELT Data Pipelines AWS Azure Google Cloud Tableau Machine Learning Generative AI NLP Agile Data Modeling Data Quality

What you'll do

Build and support data pipelines that ingest, transform, and prepare raw information for business use.
Develop reliable data assets using Python, SQL, and PL/SQL.
Execute ETL/ELT processes to ensure data quality, consistency, and performance.
Manage structured and unstructured data to enable analytics, reporting, and automation.
Utilize cloud platforms and tools like Snowflake and GitHub for data management.
Support the development of infrastructure for machine learning and generative AI capabilities.
Use AI tools like Copilot to enhance productivity and develop data solutions.
Perform data profiling and monitoring activities to maintain high-quality data assets.

What we're looking for

Must be an undergraduate or graduate student pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM field.
Must have a GPA of 3.0 or higher and expect to graduate in May 2028 with a Bachelor's or Master's degree.
Strong analytical, problem-solving, critical thinking, communication, and collaboration skills are required.
Experience with Python, SQL, or PL/SQL (preferred).
Experience with ETL/ELT, data pipelines, data transformation, data profiling, data quality, or data modeling (preferred).
Familiarity with Snowflake, GitHub, relational databases, or cloud platforms like AWS, Azure, or Google Cloud (preferred).
Exposure to Tableau, AI/ML concepts, generative AI tools, LLMs, NLP, or Agile methodologies (preferred).

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