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# Data Engineer

- **Company:** State Farm Insurance
- **Location:** Bloomington, IL, United States (Remote available)
- **Salary:** $90,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Cloud Database, Databases, Information Engineering, Data Governance, Data Infrastructure, Data Security, Data Systems, Disaster Recovery, Distributed Systems, Graph Database, Python (Programming Language), OpenShift, SQL Databases, Systems Integration, Workflow Management Systems, Enterprise Data Management, Event Driven Architecture, Containerization, Kubernetes, Stream Processing, Data Pipelines
- **Published:** July 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f4ba01c58f29cf0d

## About the Role

* Experience designing, building, and supporting scalable data pipelines, integrations, and enterprise data solutions.
 * Proficiency with key data engineering technologies such as Python and SQL, along with modern database/platform technologies.
 * Experience with data modeling, data quality, data governance, and secure data practices.
 * Ability to troubleshoot distributed systems and understand dependencies across applications, data, and infrastructure.
 * Strong collaboration skills-able to work effectively with technical teams and business stakeholders to deliver reliable, reusable outcomes., * Experience with graph databases, knowledge graphs, or relationship-based data modeling.
 * Experience with container platforms (Kubernetes/OpenShift), Infrastructure as Code, or cloud automation.
 * Experience with event-driven architectures, APIs, enterprise integrations, or workflow orchestration.
 * Experience with observability, resiliency, disaster recovery, or business continuity solutions.
 * Experience with real-time data processing, AI-enabled solutions, or modern data platforms.

## Description

State Farm is seeking a highly motivated Data Engineer to help build and evolve data solutions that support business continuity, resiliency, and recovery readiness across the enterprise. Working closely with software engineers, recovery coordinators, and business partners, the ideal candidate will design and deliver scalable data pipelines, integrations, and reusable data products that improve visibility, enable informed decision-making, and strengthen a growing enterprise data ecosystem.


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