Experience 6-10 yrs
Support review of controls to ensure sufficient production of enterprise dataExecutes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
Proactively identifies hidden problems, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture.
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Updates logical or physical data models based on new use cases
Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Formal training or certification on Software Engineering concepts and 2+ years applied experience

Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)