Full Stack Data Platform Engineer

Job Overview

We are looking for a skilled Full Stack Data Platform Engineer who thrives at the intersection of software development, modern data infrastructure, and internal tools. You’ll help architect and build robust APIs, manage databases like PostgreSQL and Supabase, and contribute to the frontend when needed all while enabling automation and actionable business insights.

This role combines backend craftsmanship with data intuition to power internal tools, data reporting pipelines, and intelligent automation systems.

Key Responsibilities

Application & API Development:

· Design and maintain scalable backend services using Python (Django).

· Build and optimize RESTful or GraphQL APIs for internal and external use.

· Integrate and manage PostgreSQL/Supabase databases.

· Occasionally contribute to frontend tasks (React, Vue, or basic HTML/CSS/JS).

· Ensure performance, security, and reliability across the stack.

Database Engineering

· Design and normalize database schemas for scale and performance.

· Implement backup, restore, and security protocols.

· Monitor and optimize query performance for large-scale datasets.

API & System Integration

· Develop and document APIs for seamless service-to-service data exchange.

· Integrate with third-party and internal tools using OAuth, JWT, etc.

· Maintain version control and backward compatibility.

Data Reporting & Analytics

· Build automated and ad-hoc data reports and dashboards.

· Translate business goals into metrics, KPIs, and analytics pipelines.

· Conduct exploratory data analysis (EDA) to uncover trends and anomalies.

Automation & Internal Tooling

· Identify manual workflows and automate them using code or no-code tools.

· Work with cross-functional teams to scale internal processes.

· Build end-to-end automation from data ingestion to insights delivery.