State Farm Data Engineer Interview Questions + Guide in 2025

State Farm is a Fortune 50 company known for its leadership in the insurance and financial services industry, emphasizing a culture that values diversity, community engagement, and employee development.

As a Data Engineer at State Farm, you will be integral to the development and implementation of innovative data solutions that leverage cloud-based technologies. The role requires expertise in managing large-scale data sets, particularly using AWS services such as S3, Glue, and Redshift. You will be responsible for designing, developing, and maintaining data pipelines that facilitate efficient data integration for analytical purposes. Successful candidates will demonstrate proficiency in programming languages, particularly Python and Scala, and will have experience with big data technologies such as Apache Spark. A strong understanding of ETL processes, data governance, and data quality management is essential. Given the dynamic and collaborative environment at State Farm, a passion for continuous learning, an agile mindset, and effective communication skills are key traits that will contribute to your success.

This guide will equip you with the knowledge needed to excel in your interview, helping you to articulate your skills and experiences in alignment with State Farm's values and the demands of the Data Engineer role.

Typically, interviews at State Farm vary by role and team, but commonly Data Engineer interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the State Farm Data Engineer interview with these recently asked interview questions.