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Data Developer
COUNTRY Financial®. Design, develop, test, and implement data solutions that enable trusted, scalable, and reliable data products .
Posted 10/13/2026full-timeBloomington • Illinois • United StatesMid-LevelSenior💰 $78,800 - $108,350 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and implementing data solutions, with a strong focus on data pipelines, integrations, and AI-assisted development tools. Proficient in applying DevSecOps practices and collaborating with cross-functional teams to deliver high-quality, scalable data products.
Highest-signal resume keywords
Data Pipeline DevelopmentDevSecOps PrinciplesAI-Assisted Development ToolsData Management and GovernanceSAFe Agile Methodology
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 Solutions DevelopmentData TransformationsData IntegrationsCloud-Native TechnologiesAutomated TestingCode Quality StandardsTroubleshootingProduction SupportAnalytics EcosystemsArchitecture and Engineering Standards
Soft Skills
CollaborationProblem SolvingTechnical Direction
Tools & Technologies
CI/CDSource ControlObservability ToolsAI Development Tools
Industry Keywords
Data ManagementData GovernanceData SecurityQuality Standards
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Design, develop, test, and implement data solutions that enable trusted, scalable, and reliable data products
- Develop data pipelines, transformations, integrations, and related components
- Translate technical designs and requirements into high-quality working solutions
- Provide technical direction and conduct code reviews
- Resolve development issues and ensure code is accurate, efficient, maintainable, and delivered to standards
- Contribute technically within a SAFe Agile delivery team
- Collaborate with Product Management, Architecture, Data Engineering, Quality Engineering, Security, and business stakeholders
- Build and enhance data products, pipelines, integrations, and services supporting operational, analytical, and AI-driven outcomes
- Apply DevSecOps practices throughout the development lifecycle
- Use AI-assisted development tools for coding, testing, troubleshooting, documentation, and code review
- Reinforce data management, governance, security, quality, and development standards
- Gather business and technical requirements and design solutions
- Develop high-performing software solutions
- Support testing, debugging, implementation, and problem solving
Requirements
What you’ll need- Typically requires 4+ years of relevant experience or a combination of related experience, education and training
- Ability to gather business and technical requirements
- Experience designing, developing, testing, and implementing data solutions
- Experience developing data pipelines, transformations, integrations, and related components
- Knowledge of architecture, engineering standards, and business requirements
- Experience with modern data platforms, cloud-native technologies, data engineering frameworks, and analytics ecosystems
- Knowledge of DevSecOps principles, source control, CI/CD, automated testing, code quality, observability, security controls, deployment, troubleshooting, and production support
- Experience with AI-assisted development tools and practices
- Knowledge of data management, governance, security, quality, and development standards
- Ability to collaborate with onshore and offshore development resources and cross-functional stakeholders
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 employment and a work environment free of discrimination and harassment