Full Stack Application Engineer (Analytics & Data Platforms) - Forsyth - Remote

The Cigna Group is seeking a Full Stack Application Engineer (Analytics & Data Platforms) to design and build scalable web applications that connect data, analytics, and AI. In this role, you will collaborate with cross-functional teams to create user-friendly solutions and contribute to backend services and APIs.

Responsibilities:

• Design and develop modern, scalable web applications that deliver intuitive analytics experiences and support client-facing use cases
• Build reusable front-end components and contribute to full-stack solutions that integrate seamlessly with governed data platforms
• Translate business needs into technical solutions by partnering across Product, Data, and Engineering teams
• Integrate applications with curated data products using Databricks and AWS environments to ensure reliable and secure data delivery
• Contribute to backend services and APIs that enable data access, interactivity, and system integration
• Apply strong engineering practices including testing, version control, and code reviews to ensure quality and performance
• Support automation across development and data workflows, including CI/CD and deployment processes
• Monitor and optimize application performance and user experience using usage data and feedback
• Contribute to documentation, standards, and reusable patterns that improve consistency and scalability
• Leverage AI-assisted development tools thoughtfully to enhance efficiency and solution quality

Requirements:

• 2+ years of experience building data-driven applications or analytics solutions
• Hands-on experience with React, JavaScript, HTML, and CSS, with a focus on usability and clean design
• Working knowledge of Databricks (SQL, workflows) and experience integrating data into applications within AWS environments such as S3
• Experience with GitHub or similar version control tools in collaborative development environments
• Understanding of APIs and data interfaces for consuming and delivering data
• Strong problem-solving skills, attention to detail, and commitment to high-quality output
• Ability to collaborate effectively in cross-functional teams and communicate technical concepts clearly
• Bachelor's degree in a related field
• Experience working with large or complex datasets, including healthcare or claims data
• Familiarity with data pipelines, automation, and deployment workflows
• Experience documenting technical designs, data models, or workflows in a structured way
• Ability to build out front-end tools and/or applications