Full Stack Application Engineer – Analytics, Data Platforms

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.

• 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 Git Hub 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 (preferred).
• Experience working with large or complex datasets, including healthcare or claims data (preferred).