Senior Engineer - Data Analytics

Senior Engineer - Data Analytics  

Position Summary  

​​GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data analytics solutions.  You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics CoE (Center of Excellence), you will develop state-of-the-art data models and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.​ 

Position Description 

As a Senior Engineer, you will be a key member of the Data Analytics & Vertical Engineering staff, working to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data modeling and visualization. Our team thrives and succeeds in delivering high quality analytics tools in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from report design to dimensional data model development. 

Position Responsibilities 

​​As a Senior Engineer, you will: 

• ​Utilize programming languages like SQL, dbt and Python, as well as reporting tools like Power BI and Apache Superset, to transform and report on large volumes of enterprise data to gain new insights 

• ​Utilize your passion for data exploration to produce high quality, accurate data and/or reports with visualizations to empower outstanding business decisions 

• ​Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization 

• ​Build with engineering excellence and leverage your technical skills to drive towards the best solutions 

• ​Engage in cross-functional collaboration throughout the entire model and report development lifecycle 

• ​Manage deployment pipelines, ensuring consistent data availability 

• ​Mentor other engineers  

• ​Consistently share best practices and improve processes within and across teams 

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Qualifications 

• ​​Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics 

• ​Demonstrable knowledge of ETL / ELT tools (strong preference for dbt) 

• ​Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)