Backend Developer

Python / Data Engineering / GCP

Latino Legends is partnering with a growing U.S. housing market data company to find a hands-on Backend Developer who can take ownership of backend systems, data pipelines, and GCP infrastructure while contributing to features across the full product.

THE DETAILS
- Compensation: $37-$42 USD/hour
- Location: Remote from Latin America
- Schedule: Full-time, 40 hours/week aligned with US Central Time
- Type: Long-term international independent contractor
- Hiring timeline: ASAP

ABOUT THE ROLE

This is primarily a backend and data engineering role, with strong ownership across the full product lifecycle. You'll work with Python services, APIs, ETL pipelines, BigQuery, production jobs, and GCP infrastructure that processes large-scale housing and economic datasets.

You'll also contribute to frontend features using React, Next.js, and TypeScript, leveraging AI coding tools to take projects from technical planning through launch and iteration.

The adecuado candidate is not a ticket-closer.



You should be comfortable owning a feature end-to-end and thinking beyond whether the code works — including performance, reliability, user adoption, and what should improve after launch.

WHAT YOU'LL DO
- Build and maintain Python backend services and APIs
- Design and optimize ETL and large-scale data processing pipelines
- Work extensively with BigQuery and advanced SQL
- Manage scheduled jobs, queues, background processes, and asynchronous workflows
- Work with GCP infrastructure including Compute Engine, Cloud Storage, Pub/Sub, monitoring, and load balancing
- Optimize how data is precomputed, packaged, cached, compressed, and served
- Debug issues across data sources, pipelines, databases, APIs, infrastructure, and the frontend
- Contribute to React/Next.js/TypeScript features using AI coding tools
- Own selected features from architecture and data pipeline through API, frontend, deployment, analytics, and iteration
- Monitor per

📌 Backend Developer (Buenos Aires)
🏢 Latinolegends
📍 Buenos Aires