Senior Frontend Engineer (React Data & Analytics Platforms)Saransh • United States
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Senior Frontend Engineer (React Data & Analytics Platforms)
Saransh
- United States
- United States
À propos
Senior Frontend Engineer
to design, build, and optimize modern web applications that power our data-driven products. The ideal candidate combines strong UI/UX sensibility with working knowledge of backend technologies and data engineering workflows, enabling seamless integration between frontend interfaces and data services. Key Responsibilities Frontend Development Develop responsive, high-quality web applications using
React ,
JavaScript/TypeScript , and modern UI frameworks. Build reusable, scalable UI components and enforce best practices in frontend architecture and state management. Integration & Collaboration Collaborate with data engineers and backend teams to integrate applications with
APIs, Databricks workflows, and data pipelines . Consume and visualize data from enterprise data platforms and cloud services. Performance & Quality Optimize applications for performance, accessibility, scalability, and cross-browser compatibility. Troubleshoot and resolve issues across the application stack. Engineering Excellence Contribute to CI/CD pipelines and participate in code reviews to maintain high engineering standards. Follow Agile development practices and support continuous improvement initiatives. Required Skills & Experience 6–8+ years of hands-on experience developing frontend applications using
React . Strong proficiency in
JavaScript/TypeScript, HTML5, CSS3 , and modern frontend tooling. Experience integrating frontend applications with
RESTful APIs
and data platforms. Working knowledge of backend frameworks such as
FastAPI
or similar. Understanding of authentication patterns and cloud environments ( Azure, AWS, or GCP ). Experience with
Git, CI/CD pipelines, and Agile methodologies . Preferred Qualifications Experience building
data visualization
components using libraries such as
D3, Plotly , or similar. Background working in
enterprise-scale data engineering or analytics environments . Exposure to backend technologies such as
Node.js, Python , or similar. Professional Attributes Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work independently while managing multiple priorities.
Compétences linguistiques
- English
Avis aux utilisateurs
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