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Senior Frontend Engineer

Hmg America Llc — United States · Posted ~3 hours ago

Senior Full-time Remote $150K total compensation

Skills

React TypeScript frontend development UX/UI integration API integration state management analytics integration data security APIs SDKs Power BI Looker Tableau RLS CLS

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Summary ✨ AI‑Generated

A Senior Frontend Engineer is sought to build modern web applications using React and TypeScript, integrate backend APIs, manage application state, and embed analytics experiences through SDKs and APIs. You will focus on seamless UX, data integration, and security while working with analytics technologies and supporting sophisticated data-driven applications.

Highlights

Fully remote senior engineering role with $150K total compensation. Build modern web applications, integrate analytics capabilities, work with contemporary frontend technologies, and contribute to secure data-driven user experiences.

Description

Senior Frontend Engineer (Analytics) Location: Remote – Working Hours aligned with EST/CST Employment Type: Full-Time Total Compensation: $150K Job Description The ideal candidate will have strong experience building modern frontend applications using React and TypeScript, integrating UX/UI experiences with backend APIs, managing application state, and embedding analytics experiences within applications using SDKs and APIs. Key Responsibilities Modern Development Stack (i.e. React/Typescript or standard stack, UX integration, APIs, state management) as well helping with embedding the analytics experience using SDKs / APIs 🡪 including filters, navigation, configuration, etc,.. Understanding the data security (experience with RLS/CLS is ideal). Also data /API integration. Build and maintain web applications using React and TypeScript.Integrate analytics platforms (Power BI, Looker, Tableau, etc.) into existing applications using SDKs and APIs.Create a seamless user experience with features like:FiltersNavigationDashboard configurationUser-specific viewsConnect the application to various data sources and APIs.Implement security controls such as:RLS (Row-Level Security): Users only see data they are authorized to access.CLS (Column-Level Security): Sensitive columns are hidden from certain users.Work closely with UX/design teams to ensure the analytics experience feels like part of the application.