Job Description
Bring data to life through modern applications and intelligent experiences. In this role, you will help design and build scalable, user-friendly solutions that connect data, analytics, and emerging AI capabilities to deliver meaningful insights. You will work alongside cross-functional teams to create impactful client-facing products while growing your technical expertise in a supportive, innovative environment. 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. Qualifications Required 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 environm
