React Developer / Engineer

Job Role: React Developer / Engineer

Location New York, NY

Job Type: Full Time

Job Description

Key Skillset Summary:

React proficiency demonstrated through clear, well-built professional experience.

TypeScript or strong JavaScript fundamentals with a clear understanding of type safety and why it matters in a team codebase

Python proficiency: able to write backend services, REST APIs, and data manipulation scripts without significant support

SQL working knowledge: able to query, filter, join, and aggregate data independently - including window functions and CTEs

Ability to read a wireframe and translate it into working front-end code with attention to detail and interaction fidelity

Clear communicator: able to ask for what you need, flag blockers early, and explain a technical decision in plain terms

Tech Stack: Core Front-End

React: components, hooks, props, state - able to build from scratch without a tutorial open

TypeScript / JavaScript: type annotations, async patterns, browser fundamentals

CSS: layout, responsive design, basic animation - comfort translating a design into code

Testing: unit tests with Jest or equivalent; understanding of why tests exist, not just how to write them

Backend & Data

Python: FastAPI, Flask, or equivalent for building REST APIs and backend services

SQL: SELECT, JOIN, GROUP BY, window functions, subqueries - comfortable querying a data warehouse independently

REST API design: data contracts, request/response handling, error patterns

Basic data pipeline awareness: able to read and understand how data flows from source to surface

Roles & Responsibilities

UI Development with full stack foundation

Full-Stack Feature Ownership

Work seamlessly across the entire technology stack with a primary focus on React on the front end while managing Python-based backend services, APIs, and data integrations.

Own the entire lifecycle of what you ship across the full surface area of your work.

Build frontend interfaces, write corresponding backend endpoints, and collaborate closely with data scientists to understand and render model outputs.

Harden, orchestrate, and convert agentic output into enterprise-grade UI applications optimized for maximum security, usability, and performance.

Functional Prototyping

Develop working, functional prototypes using real, interactive code rather than static, click-through designs.

Iterate rapidly to enable the team and end-users to interact with features early, allowing for quick directional shifts. Prioritize speed to close the gap between design and functionality, validating features quickly before committing to full-fidelity production.

Component Library Contribution

Contribute reusable components to a shared library that powers the entire portfolio of intelligence products.

Learn, apply, and maintain strict design and coding conventions across the shared library.

Document your work thoroughly and write robust tests to ensure all shared components are safe and stable for reuse.

Cultivate a strong architectural sense of what features belong in a shared library versus what should remain product-specific.

Design Collaboration

Partner directly with designers to read wireframes precisely, ask critical questions early, and identify implementation constraints before they lead to rework.

Actively participate in design reviews, user feedback sessions, and strategic product decisions.

Formulate, maintain, and clearly communicate a strong, informed point of view on product design and user experience.

Backend Services & Data Integration

Build and maintain the backend services and API layers that connect data pipelines, scoring models, and structured data assets to front-end surfaces.

Write robust endpoints, define and manage clear data contracts, and proactively handle complex edge cases to elevate prototypes to dependable, field-ready systems.

Collaborate closely with data scientists and platform engineers to comprehend data structures and guarantee accurate frontend presentation.