Purpose

As a Data Engineer Intern, you will support the advancement and stabilization of our configuration-driven data operations framework by assisting with automation, standardization, and ETL process improvements to reduce manual effort and build a more scalable and resilient operating model.

Responsibilities 

You will support the Data Solutions- Operations team in a variety of functions, such as: 

• Support development and testing of configuration-driven ETL jobs in AWS Glue.
• Assist in standardizing job patterns, schema contracts, and reusable utilities.
• Help refactor legacy or hard-coded logic into config-driven structures.
• Document pipeline dependencies, data flows, and operational runbooks.
• Contribute to data quality checks, validation rules, and monitoring improvements.
• Assist with troubleshooting job failures and performance optimization efforts.
• Support CI/CD, deployment validation, and environment configuration consistency.
• Perform additional duties as assigned or requested.

Learning Opportunities

• Opportunity to gain hands-on experience in enterprise data engineering and data operations within a modern cloud environment.
• Learn how scalable data platforms are built and optimized while strengthening your understanding of data architecture, automation, and performance.
• Programs and projects to help expand public speaking and presentation skills.
• Exposure to various parts of the business, encouraging professional development and relationship building.

Knowledge, Skills, and Abilities

• Must be a critical thinker and a problem solver. 
• Strong verbal and written communication skills
• Microsoft Office – intermediate to advanced Excel.
• P&C Insurance industry knowledge is a plus.
• Ability to work effectively both independently and in a team environment.
• Ability to communicate effectively across multiple channels and asynchronously in a remote-first working environment.

Requirements

• Student must be enrolled in an accredited university working towards a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Engineering, Information Systems, or a related field.
• Ability to work in a fully remote working environment free from distractions and access to stable and reliable internet services. 

Employment Conditions

• The intern will be expected to work full-time at 37.5 hours/week over the summer, with the potential for part-time work continuing during the school year. 
• This internship is classified as a temporary, part-time position. 
• This internship is compensated as a non-exempt, hourly position. 
• This internship position is fully remote.