Data Engineer I: Cloud Data Lakes & Automation

Mercury Insurance Services, LLC; United States; Remote; USD 84,000 - 162,000; Full time

Job summary

Mercury Insurance Services, LLC is hiring a Data Engineer I to enhance automation features, build data tooling, and weave automation into the SDLC. You will collaborate across teams to reduce manual effort, ensure regulatory-aligned testing, and deliver scalable data solutions on AWS.

The role requires 1+ year of data engineering experience, strong Python/SQL skills, and familiarity with AWS data services. This position supports remote work within the United States and offers a competitive

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or related field or equivalent experience.
• 1+ years of data analytics/engineering/science experience.
• 1+ years of Python or Java programming.
• 1+ years of SQL and query tuning experience.
• 1+ years of experience with AWS data services (S3, Glue/EMR, Athena).

Responsibilities

• Design, build, and launch large-scale data lake solutions on AWS to support multiple departments and use cases.
• Solve complex data integration problems using ETL patterns and diverse data sources.
• Own and optimize production data processes and improve performance of data workflows.
• Collaborate with data analysts and data scientists to drive data-driven insights and growth.
• Perform data cleansing, normalization, and data model changes; design NLP modules when needed.

Skills

Big data

Python

SQL

AWS

Data lakes

Education

Bachelor's degree

Equivalent experience

Tools

AWS

Redshift

Snowflake

GitHub

Job description

Mercury Insurance Services, LLC is hiring a Data Engineer I to enhance automation features, build data tooling, and weave automation into the SDLC. You will collaborate across teams to reduce manual effort, ensure regulatory-aligned testing, and deliver scalable data solutions on AWS.

The role requires 1+ year of data engineering experience, strong Python/SQL skills, and familiarity with AWS data services. This position supports remote work within the United States and offers a competitive