Summary
A mid-level full-stack developer is sought to build and enhance web applications around complex data products. The role combines modern frontend development, clear data visualizations, data modeling and transformation, API development, and ownership of the full software lifecycle.
Highlights
Join a mid-level engineering role focused on modern web applications, data visualization, and large-scale data products, with hands-on ownership across prototyping, development, testing, and release.
Description
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 visualizationsDesign and implement data modeling and transformation sufficient to support API endpoints for front-end visualizationsHands-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 classesDesign and implement client-side strategies for rendering large geospatial and tabular datasets at scale, including appropriate use of tiling, virtualization, caching, and data-reduction techniquesLead 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 TypeScriptNode.js backend frameworks, particularly NestJSPython web backend frameworks, particularly FastAPIRelational 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 PlatformClient-side mapping using Mapbox GL JS, including working with vector tiles, GeoJSON, and custom source/layer/style configurationSpatial data in relational databases, particularly PostGIS, including spatial indexes and SQL-level geometric operationsDemonstrated ability to optimize web applications for performant client-side rendering of large datasets โ familiarity with strategies such as vector tiles, virtualization, web workers, data decimation, client-side caching (IndexedDB), React performance profiling, and GPU-accelerated renderingAutomated 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 workflowsExcellent 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.
Intercontinental Exchange, Inc.
is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to legally protected characteristics.