Senior Full Stack Engineer - Data Platform - Hire Hangar

Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.

Job Title Senior Full Stack Engineer – Data Platform

Location Remote

Time Zone Flexible / Aligned to HQ Time Zone

Role Overview We are building the data backbone for the next generation of AI-powered automation — and we need a Senior Full Stack Engineer who can operate across the full stack: from data ingestion pipelines to the polished frontend dashboards our enterprise customers rely on.

This role is ideal for an engineer who thrives where data engineering meets product engineering. You will own the interfaces and services that make complex data meaningful and actionable — and you will work alongside automation engineers to ensure that RPA agents have the structured, reliable data they need to function intelligently.

Key Responsibilities

Build and maintain frontend experiences for our data platform, including dashboards, data explorers, and workflow builders

Design and implement RPA agent integrations that interact with structured and unstructured data sources

Develop APIs and services that expose platform data to both internal consumers and customer-facing products

Contribute to the semantic layer that contextualises data for AI agents — including tagging, categorisation, and metadata enrichment

Collaborate with data engineers to ensure frontend and API layers align with underlying data models

Drive performance and scalability improvements across frontend and backend components

Required Qualifications

Senior-level full stack experience with strong frontend depth in React and TypeScript

Experience building data platform or BI-adjacent frontends including dashboards, query interfaces, and real-time data views

Familiarity with RPA tooling and automation workflow design

Understanding of data modelling, ETL patterns, and API-first architecture

Experience with cloud data services such as Snowflake, BigQuery, or Redshift

Strong attention to UX detail and the ability to translate complex data into clear, usable interfaces

Must have prior remote work experience and proven ability to work independently within a distributed team

Preferred Qualifications

Experience with semantic metadata layers or data cataloguing tools

Background in enterprise SaaS product development

Knowledge of streaming data technologies such as Kafka or Kinesis

Exposure to dbt, Airflow, or similar data pipeline tooling

Tools & Technology

React / TypeScript

Python / Node.js

Cloud data warehouses (Snowflake, BigQuery, or similar)

RPA platforms (UiPath, Power Automate, or similar)

REST and event-driven APIs

Slack, Zoom, Google Workspace

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