Job Description
Support the development and upkeep of data pipelines for our analytics and data science teams. With guidance from senior engineers, you’ll help ingest and transform data from internal and external sources, assist with testing and monitoring data infrastructure, and perform basic data quality and documentation tasks across the organization. You will also assist in building and maintaining reliable batch data pipelines on AWS and Snowflake using SQL and Python, following established patterns and templates.
Collaborate with analytics, data science, and engineering teams to understand data needs and deliver small enhancements. Support data housekeeping tasks (e.g., partition management, cost/performance hygiene) under mentorship.
About Mercury Insurance
At Mercury, they have been guided by their purpose to help people reduce risk and overcome unexpected events for more than 60 years.