Data Engineer Intern

The Hartford

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Hybrid

Quick summary

Work type: Hybrid
Location: Charlotte, NC
Employment: Full-time
Posted: 61 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 $143k

$90k $193k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $104,000–$182,687.

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 70 open roles on FindRole.

Listed pay typically runs $127,600–$191,400 across 29 roles with salary data.

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At a glance

TL;DR · Data Engineer Intern

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JOB TITLE: Tech & Data Program Summer 2027 – Data Engineer Intern (Charlotte) The Data Engineer Intern joins the Technology, Data, AI, and Operations organization to build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights. Working within the insurance industry, the intern transforms raw information into reliable data assets to support business decisions and future AI capabilities. Day-to-day responsibilities include designing data workflows, performing ETL/ELT processes, ensuring data quality, and collaborating with cross-functional teams to deliver scalable solutions. The role requires proficiency in Python, SQL, PL/SQL, Snowflake, and GitHub, alongside exposure to cloud platforms like AWS, Azure, or Google Cloud. Candidates will apply these tools to manage structured and unstructured data while leveraging AI tools like Copilot to enhance productivity and support machine learning use cases.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

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

What you'll do

Build and support data pipelines that ingest, transform, and prepare data for business use.
Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions.
Apply Python, SQL, and ETL processes to develop reliable data assets.
Ensure data quality, consistency, and performance through profiling, validation, and monitoring.
Deliver scalable data solutions to address specific business needs.
Leverage AI tools like Copilot to enhance productivity and support advanced analytics.

What we're looking for

Must be an undergraduate or graduate student expecting to graduate in May 2028.
Must have a GPA of 3.0 or higher.
Must be pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field.
Must possess strong analytical, problem-solving, critical thinking, and communication skills.
Experience with Python, SQL, or PL/SQL.
Experience with ETL/ELT, data pipelines, data transformation, data profiling, or data modeling.
Experience with Snowflake, GitHub, relational databases, or cloud technologies (AWS, Azure, or Google Cloud).
Master's degree.

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