Python Developer

Latino Legends; Brasil; Teletrabalho; BRL 273 000 - 309 000; Tempo integral

Resumo da oferta

Latino Legends is seeking a hands-on Backend Developer to own backend systems, data pipelines, and GCP infrastructure while contributing to features across the full product.

This is a remote-from-Latin-America role, full-time, 40 hours/week aligned with US Central Time. You will work on Python services, APIs, ETL pipelines, BigQuery, and production jobs, with React/Next.js/TypeScript frontend contributions as needed. Ownership and end-to-end delivery are key.

Qualificações

• Strong Python backend development with production-grade APIs.
• Advanced SQL and large-scale BigQuery experience.
• Production involvement with Google Cloud Platform (GCP).
• Experience building ETL/data pipelines for big datasets.
• Experience with asynchronous processing and background jobs.

Responsabilidades

• Build and maintain Python backend services and APIs.
• Design and optimize ETL and large-scale data pipelines.
• Work with BigQuery and advanced SQL.
• Manage scheduled jobs, queues, and asynchronous workflows.
• Handle GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub).
• Improve data precomputation, packaging, and serving performance.
• Debug across data sources, pipelines, databases, APIs, and frontend.

Conhecimentos

Python backend

Production APIs

BigQuery

SQL

GCP

ETL pipelines

Asynchronous processing

Ferramentas

Git

Descrição da oferta de emprego

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 ideal 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 performance, reliability, scalability, and product usage after launch

MUST‑HAVES

• Strong professional experience with Python backend development and production APIs
• Advanced SQL and hands‑on BigQuery experience with large datasets
• Production experience with Google Cloud Platform (GCP)
• Strong experience building ETL/data pipelines
• Experience with asynchronous processing and background jobs
• Strong understanding of data architecture, system design, performance optimization, and debugging
• Daily experience using AI coding tools such as Claude, Cursor, or GitHub Copilot
• Strong English communication skills for daily standups and 1:1s with the CEO
• Experience with Git and modern development workflows

NICE‑TO‑HAVES

• Experience with PostHog or other product analytics platforms
• Experience working with geographic or time‑series data
• Experience with caching and data packaging for high‑traffic applications

THIS ROLE IS NOT A FIT IF...

• Your experience is primarily data engineering without building APIs or backend services
• Your backend experience is mostly CRUD applications without large‑scale data
• Frontend development is your strongest skill set

Backend, data engineering, and GCP should clearly be your strongest areas.

AI‑NATIVE DEVELOPMENT

The team actively uses AI coding tools such as Claude, Cursor, and GitHub Copilot. You should be comfortable using AI to understand unfamiliar code, troubleshoot bugs, write tests, refactor systems, and build or modify frontend features independently.

WORKING STYLE

• Hands‑on and highly technical — you'll write code, investigate bugs, deploy solutions, and troubleshoot production systems
• Proactive and ownership‑driven — identify blockers, risks, and reliability issues early and recommend solutions
• Comfortable working 40 hours/week with consistent availability during Central Time business hours
• Collaborative — you'll work closely with the CEO and development team through daily standups, brief daily 1:1s, and ongoing communication
• Product‑minded — you care about whether features are actually used, how they perform, and what should be improved after launch

WHAT MATTERS MOST

The strongest candidates will bring a combination of:

You should be capable of taking a feature from:

This is an opportunity for someone who wants real ownership over a growing product and enjoys solving complex backend, data, and infrastructure challenges.