Data Engineer Intern - Technology, Data, AI, and Operations
The Hartford · AI/ML/Data
- Location
- Chicago, IL
- Metro
- Chicago
- Workplace
- Hybrid
- Level
- Intern
- Type
- Internship
- Posted
- 2 months ago
- Source
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PythonSQLAWSGCPAzureSnowflakeLLMs
What the posting covers
About the company
Student Intern - HHSIAN We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too.…
Program Overview
At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow…
About the Experience
The Hartford’s Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology…
What You'll Gain
Hands-on experience designing, building, and supporting data pipelines and data workflows Exposure to modern data engineering practices, including ETL/ELT, data transformation, data quality, and cloud-based data platforms Opportunities to work with tools and…
Ways You'll Learn, Grow, and Contribute
Depending on your role and project assignments, your experience may include: Build and support data pipelines that ingest, transform, and prepare data for business and analytical use Work with structured and unstructured data to enable analytics, reporting,…
Required Qualifications
Undergraduate or graduate student expecting to graduate in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or…
Experience and exposure to some or all of the following
Programming & Querying: Python, SQL, PL/SQL Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts Cloud…
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and…
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