Full Stack Developer

Overview:

Job Purpose

ICE Data Services (an Intercontinental Exchange company) is seeking a mid-level full-stack developer to join its Data Impact & Innovation team. This team supports a variety of reference data, index, climate finance, and alternative data products. This role presents a unique opportunity to support and enhance big data applications and products aimed at helping the financial sector understand and respond to carbon transition risk, physical risk, and related challenges.

Responsibilities

Develop and enhance web-based UI applications around the ICE Climate datasets:

Use modern front-end frameworks for building crisp and clear visualizations

Design and implement data modeling and transformation sufficient to support API endpoints for front-end visualizations

Hands-on execution of all stages of the development lifecycle, from rapid prototyping, to iterative refinement based on user feedback, to testing remediation and release.

Support integration and enhancement of existing web applications that allow coherent exploration and analysis of multiple climate datasets and methodologies across different financial asset classes

Design and implement client-side strategies for rendering large geospatial and tabular datasets at scale, including appropriate use of tiling, virtualization, caching, and data-reduction techniques

Lead efforts to design, architect, and implement software components with minimal oversight.

Independently handle project activities related to builds and deployments.

Write and maintain automated tests, including end-to-end testing with tools like Playwright, to verify the functionality and quality of the software.

Effectively leverage AI and LLM-based developer tooling to accelerate development workflows and improve code quality.

Identify opportunities to improve and optimize applications.

Work with business analysts and product management to understand and refine new requirements.

Knowledge and Experience

3+ years of professional experience and demonstrated ability in most of the following areas:

JavaScript technologies such as React and TypeScript

Node.js backend frameworks, particularly NestJS

Python web backend frameworks, particularly FastAPI

Relational databases and SQL, with comfort reading and writing analytical queries against cloud data warehouses (e.g. Google BigQuery)

Core knowledge of fundamental web protocols and standards (HTML5, HTTP, WebSockets, CORS, cookies and session management, etc.)

Cloud computing and infrastructure, especially Google Cloud Platform

Client-side mapping using Mapbox GL JS, including working with vector tiles, GeoJSON, and custom source/layer/style configuration

Spatial data in relational databases, particularly PostGIS, including spatial indexes and SQL-level geometric operations

Demonstrated ability to optimize web applications for performant client-side rendering of large datasets — familiarity with strategies such as vector tiles, virtualization, web workers, data decimation, client-side caching (IndexedDB), React performance profiling, and GPU-accelerated rendering

Automated testing frameworks, particularly end-to-end browser testing (e.g. Playwright)

Practical experience using AI/LLM coding assistants and a demonstrated ability to integrate them productively into development workflows

Excellent written and verbal communication skills, in order to collaborate effectively with in-person and remote technical colleagues, business stakeholders, and client end-users to brainstorm tradeoffs and timelines.

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