This listing doesn't post a salary. Most similar roles pay
$104,000–$198,000.
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 build and support 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 to solve business problems within the insurance industry. You will utilize a technical toolkit including Python, SQL, PL/SQL, Snowflake, GitHub, and various cloud platforms like AWS, Azure, or Google Cloud. Additionally, you will engage with ETL/ELT processes, data modeling, and AI tools such as Copilot to support machine learning and generative AI capabilities. This position focuses on creating the foundational infrastructure 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.
Manage ETL/ELT processes to ensure high data quality, consistency, and performance.
Process both structured and unstructured data to enable reporting and AI-driven insights.
Use AI tools like Copilot to enhance productivity and support machine learning initiatives.
Develop scalable data solutions that address specific business needs across the organization.
Perform data profiling and monitoring activities to maintain reliable data infrastructure.
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 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 is preferred.
Experience with ETL/ELT, data pipelines, data transformation, data profiling, and data quality is preferred.
Familiarity with Snowflake, GitHub, relational databases, and cloud platforms (AWS, Azure, or Google Cloud) is preferred.
Interest in or familiarity with AI/ML concepts, generative AI tools, LLMs, or NLP 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
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
Data Pipelines
AWS
Azure
Google Cloud
Machine Learning
Generative AI
Tableau
Agile
Data Modeling
Data Quality
NLP
Copilot