Full Stack Developer

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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