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COUNTRY Financial

Insurance and financial services provider

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBloomington, IL, USAHybrid

About the Job

Requirements

  • Typically requires 10+ years of relevant experience or a combination of related experience, education, and training.

Responsibilities

  • Design, develop, and deliver enterprise data solutions that enable trusted, scalable, and secure data products across the organization.
  • Lead the creation and maintenance of solution architecture and technical design artifacts, including conceptual, logical, and physical data models, integration designs, data flows, interface specifications, and implementation roadmaps.
  • Serve as a lead technical contributor within a SAFe Agile delivery team, collaborating with Product Management, Architecture, Engineering, Security, and business stakeholders to translate business capabilities and requirements into resilient data solutions.
  • Use modern data platforms, cloud-native technologies, data engineering frameworks, and analytics ecosystems to design and implement data products, pipelines, and services that support operational, analytical, and AI-driven business outcomes.
  • Apply DevSecOps principles, automation, and engineering best practices throughout the solution lifecycle, including source control, CI/CD, infrastructure as code, automated testing, observability, security controls, and production support.
  • Use AI-assisted development tools and practices to accelerate delivery, improve design quality, enhance documentation, automate routine engineering activities, and promote continuous improvement across the software and data development lifecycle.
  • Establish and support data management standards, governance requirements, security controls, and quality practices to ensure solutions are scalable, compliant, maintainable, and aligned with enterprise architecture objectives.
  • Develop scalable, repeatable, and secure data pipelines for dashboard development, machine learning models, and exploratory data analysis.
  • Design and build data models in Entity Relationship Diagrams (ERDs).
  • Prepare and manipulate data; manage data migrations and conversions; and troubleshoot data processing issues.
  • Iteratively deliver functionality using DevOps tools and concepts.
  • Collaborate with other areas to develop standards and best practices for research, analysis, data engineering, and machine learning.

About the Company

COUNTRY Financial

Insurance and financial services provider

COUNTRY Financial provides property, casualty, life insurance and financial services to more than a million households and businesses across 19 states. Its products include home, auto, farm and business insurance, plus investing and retirement planning services. Policies are sold and managed through COUNTRY Financial’s network of about 1,700 representatives and a workforce of over 3,000, who help clients choose coverage, file claims and plan for the future. Unlike some insurers, COUNTRY Financial emphasizes long-term planning and protection as a core goal, rooted in its farmer-founded history dating back to 1925. The company's main objective is to help clients protect what matters most and secure a stable financial future.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Bloomington, IN
Founded
1925

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