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# Data Engineer

- **Company:** Country Financial
- **Location:** Bloomington, IL, United States
- **Experience:** Expert
- **Salary:** $132,000.0 - $181,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Continuous Integration, Information Engineering, Data Infrastructure, Data Security, Data Systems, Database Development, DevOps, Machine Learning, Data Streaming, Data Processing, Containerization, Infrastructure Automation Frameworks, Data Management, Physical Data Models, Software Version Control, Data Pipelines, Devsecops
- **Published:** October 15, 2026
- **Apply:** https://www.careerjet.com/job/us167dcee08291478e3fa7de27f6c76d2c/eaa

## About the Role

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

## Description

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?