Sr. Full Stack Data Engineer

Senior Full Stack Data Engineer – Enterprise Analytics Platform

Location : Remote (Preference for India-based candidates)

Compensation : Competitive salary + significant equity package

Company : ContexQ (Singapore HQ)

About ContexQ

ContexQ, a Singapore-based B2B SaaS AI startup, is dedicated to transforming financial crime, fraud, and risk management through a groundbreaking contextual decision intelligence platform. It processes billions of data points from various sources using Symbolic AI, Vector Search, Graph AI, and Agentic frameworks to deliver transparent, ethical, and actionable insights to clients.

Our mission is to empower organizations with unparalleled intelligence while maintaining the highest standards of integrity and societal impact.

This is an opportunity to solve intricate technical challenges, from real-time very large data processing to interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence and promotes ethical decision-making.

By joining us, you will help build a NextGen Contextual Decision Intelligence Enterprise Analytics Platform that will set a new standard for explainable AI (XAI) in high-stakes industries.

Role Overview and Core Responsibilities

We’re seeking a passionate and sharp Full Stack Data Engineer to architect and build the front-end and back-end systems for the ContexQ’s platform. You’ll work closely with our AI Engineers to create a scalable, intuitive platform that visualizes complex network relationships, delivers real-time risk scores, and integrates with advanced AI models.

The role involves solving intricate technical challenges, from very large data processing to interactive graph visualizations. This includes :

Frontend & Visualization (15%)

• Build responsive, scalable web applications using React and TypeScript for enterprise analytics and data visualization.
• Develop interactive graph visualizations that can render millions of nodes and edges smoothly.
• Optimizing frontend performance for real-time exploration of large, multi-dimensional datasets
• Designing interfaces for explainable AI.

Backend & API Development (35%)

Cloud Infrastructure & Data Platform (50%)

Qualifications

General

Minimum Qualifications :

Preferred Experience :

What you will build

Why Join Us?

This is an opportunity to solve intricate technical challenges and build a platform that fights financial crime.

Join us in building the next generation of enterprise analytics!

Application Process