This listing doesn't post a salary. Most similar roles pay
$104,000–$204,531.
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.
As a Data Engineer Intern within the Technology, Data, AI, and Operations organization, you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights. You will work with both structured and unstructured data to transform raw information into reliable assets while ensuring data quality, consistency, and performance through profiling and monitoring. The role involves developing scalable solutions using Python, SQL, PL/SQL, Snowflake, GitHub, and various cloud platforms like AWS, Azure, or Google Cloud. You will engage in ETL/ELT processes and data transformation to support machine learning and generative AI use cases. This position focuses on the technical infrastructure of the insurance industry, where you will develop the foundational data systems necessary for advanced analytics and automated business operations.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Build and support data pipelines that ingest, transform, and prepare raw information for business use.
Develop reliable data assets using Python, SQL, and cloud-based platforms like Snowflake.
Execute ETL/ELT processes to ensure data quality, consistency, and performance through profiling and monitoring.
Manage both structured and unstructured data to enable reporting, automation, and AI-driven insights.
Utilize AI tools like Copilot to enhance productivity and support the development of machine learning solutions.
Create scalable data solutions that address specific business needs across the organization.
What we're looking for
Must be an undergraduate or graduate student pursuing a degree in Computer Science, Engineering, IT, MIS, Data Analytics, Applied Mathematics, or another STEM field.
Must have an expected graduation date of May 2028 with a GPA of 3.0 or higher.
Strong analytical, problem-solving, and critical thinking skills are required.
Strong communication, collaboration, and interpersonal skills are required.
Experience with Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms (AWS, Azure, or Google Cloud) is preferred.
Experience with ETL/ELT processes, data pipelines, data transformation, and data quality is preferred.
Familiarity with AI/ML concepts, generative AI tools, LLMs, or Agile methodologies is preferred.
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
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