Mid-Level/Lead DATA ENGINEER-Python, AWS, Spark (Hybrid-TX & IL)

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Hybrid Work Arrangement: A “Hybrid” position means selected candidates will be assigned to a facility and will spend some time working both in the office and from home. For Enterprise Technology, a hybrid work arrangement will require approximately 40% in-office time each month, beginning in late 2027.**
HUB LOCATIONS: Richardson, TX; Bloomington, ILSPONSORSHIP: ** Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.

Responsibilities

Our Property & Casualty Data Pipeline team is hiring a Data Engineer to help advance one of the company’s highest priorities. In this role, you will build and scale the data products and pipelines that power better business decision, profitable growth, and stronger customer retention. You will develop automated, reliable analytical data assets that help transform how we operate and how we serve our customers.

This position sits within Enterprise Technology and offers the opportunity to work in a highly collaborative environment focused on delivering meaningful business impact. You will partner across teams, solve complex data challenges, and help shape modern data solutions aligned to enterprise goals. It is a strong fit for someone who wants to expand their technical skills, work on high-visibility initiatives, and contribute in a fast-moving, innovative setting.

Your Responsibilities May Include:

• Utilizes industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices
• Develops and maintains reusable, scalable, and compliant data solutions across multiple platforms and compute environments
• Responsible for the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in analytic discovery and production solution deployment across multiple platforms
• Establishes business domain knowledge for existing State Farm data sources and investigates, recommends, and initiates acquisition of data resources, both internal and external
• Identifies and consults on emerging technologies and critical core systems, including techniques, tools, data sources, and platforms in the data engineering field
• Familiar with handling datasets containing mixes of structured and unstructured data
• Exhibits DataOps mindset where team is accountable for ensuring data aligns to enterprise needs and leveraging automation to deliver quality data solutions