Data Engineer

Designs, develops, and delivers enterprise data solutions that enable trusted, scalable, and secure data products across the organization. Leads 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. Serves 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. Leverages 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. Applies 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. Utilizes 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. Establishes and supports data management standards, governance requirements, security controls, and quality practices to ensure solutions are scalable, compliant, maintainable, and aligned with enterprise architecture objectives. How does this role make an impact?

• Develops data pipelines that are scalable, repeatable and secure and can be used for dashboard development, machine learning models and exploratory data analysis. - Designs and builds data models in Entity Relationships Diagram (ERD). - Prepares and manuipulates data. Manages data migrations/conversions and troubleshoots data processing issues. - Iteratively delivers functionality using DevOps tools and concepts. - Collaborates with other areas to develop standards and best practices for research, analysis, data engineering and machine learning. Do you have what we’re looking for?

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

Base Pay Range: $132,000-$181,500 The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience. Incentive Pay: In addition to base salary, this position is eligible for a Short-Term Incentive plan. Why work with us? Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We’re a big company, yet small enough you can make an impact and won’t get lost in the shuffle. You’ll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business. You’ll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match. COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations. Come join our team at COUNTRY today!