FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Engineer
COUNTRY Financial®. Design, develop, and deliver enterprise data solutions and trusted, scalable, secure data products .
Posted 10/13/2026full-timeBloomington • Illinois • United StatesSeniorLead💰 $132,000 - $181,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering enterprise data solutions, with a strong focus on data management standards, governance, and security practices. Proficient in developing scalable data pipelines and utilizing DevSecOps principles to enhance operational and analytical outcomes.
Highest-signal resume keywords
Enterprise Data Solutions DevelopmentData Pipeline Design and ImplementationDevSecOps Principles and AutomationData Management Standards and GovernanceEntity Relationship Diagram (ERD) Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Pipeline DevelopmentData Migration ManagementData Quality PracticesIntegration DesignCloud-Native TechnologiesData Engineering FrameworksAI-Driven Data SolutionsAutomation and CI/CDObservability and Production Support
Soft Skills
Collaboration with StakeholdersCommunication Skills
Tools & Technologies
DevOps ToolsAI-Assisted Development Tools
Industry Keywords
Data GovernanceData Security ControlsData Management StandardsAnalytics EcosystemsInfrastructure as Code
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, develop, and deliver enterprise data solutions and trusted, scalable, secure data products
- Lead creation and maintenance of solution architecture and technical design artifacts
- Translate business capabilities and requirements into resilient data solutions
- Design and implement data products, pipelines, and services supporting operational, analytical, and AI-driven outcomes
- Apply DevSecOps principles, automation, and engineering best practices throughout the solution lifecycle
- Use AI-assisted development tools to accelerate delivery, improve design quality, enhance documentation, and automate routine engineering activities
- Establish and support data management standards, governance requirements, security controls, and quality practices
- Develop scalable, repeatable, and secure data pipelines for dashboards, machine learning models, and exploratory data analysis
- Design and build data models in ERD
- Prepare and manipulate data; manage data migrations/conversions and troubleshoot processing issues
- Deliver functionality iteratively using DevOps tools and concepts
- Collaborate with Product Management, Architecture, Engineering, Security, business stakeholders, and other areas
Requirements
What you’ll need- Typically requires 10+ years of relevant experience or a combination of related experience, education and training
- Experience designing, developing, and delivering enterprise data solutions
- Knowledge of conceptual, logical, and physical data models
- Experience with integration designs, data flows, interface specifications, and implementation roadmaps
- Experience with modern data platforms, cloud-native technologies, data engineering frameworks, and analytics ecosystems
- Knowledge of DevSecOps principles, automation, source control, CI/CD, infrastructure as code, automated testing, observability, security controls, and production support
- Experience with data management standards, governance requirements, and data quality practices
- Experience developing scalable, repeatable, and secure data pipelines
- Experience designing and building data models in Entity Relationships Diagram (ERD)
- Experience preparing and manipulating data
- Experience managing data migrations/conversions and troubleshooting data processing issues
- Experience using DevOps tools and concepts
- Experience collaborating to develop standards and best practices for research, analysis, data engineering, and machine learning
Benefits
Comp & perks- Short-Term Incentive plan
- Medical insurance
- Dental insurance
- Vision insurance
- Disability insurance
- Life insurance
- 401(k) with company match
- Opportunities to learn and grow throughout your career
- Equal-opportunity, discrimination-free work environment