Python Developer

Latino Legends; Brasil; Remoto; BRL 277.000 - 315.000; Tempo integral

Resumo da vaga

Latino Legends is seeking an experienced backend/data engineer to own features end-to-end. You’ll build Python backend services, APIs, and ETL pipelines, working with BigQuery and GCP infrastructure to process large housing and economic datasets.

You’ll contribute to frontend features using React and TypeScript, leveraging AI coding tools to plan, launch, and iterate. Expect ownership of architecture, data pipelines, deployment, and analytics, with a strong emphasis on performance and

Qualificações

• Strong backend experience with Python and production APIs.
• Advanced SQL and BigQuery experience with large datasets.
• GCP production experience with data pipelines.
• Experience building ETL/data pipelines.
• Experience with asynchronous processing and background jobs.
• Understanding of data architecture, system design, and performance optimization.
• React/TypeScript experience to work with frontend codebase.
• Daily use of AI coding tools like Claude, Cursor, or Copilot.
• Strong English communication for daily standups with CEO.
• Experience with Git and modern workflows.

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 background processes
• Work with GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub, monitoring, load balancing)
• Optimize data precompute, packaging, caching, and serving
• Debug issues across data sources, pipelines, databases, APIs, infrastructure, and frontend
• Contribute to React/Next.js/TypeScript features using AI tools
• Own features from architecture to deployment and analytics
• Monitor performance, reliability, and scalability post-launch

Conhecimentos

Python backend

APIs

Data engineering

BigQuery

GCP

ETL pipelines

Asynchronous processing

React

TypeScript

AI coding tools

English communication

GitHub Copilot

Ferramentas

GitHub Copilot

Descrição da vaga

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
• Enough React, JavaScript, or TypeScript experience to work productively within an existing frontend codebase
• 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 systemsProactive and ownership-driven — identify blockers, risks, and reliability issues early and recommend solutionsComfortable working 40 hours/week with consistent availability during Central Time business hoursCollaborative — you'll work closely with the CEO and development team through daily standups, brief daily 1:1s, and ongoing communicationProduct-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:Python backend + APIs + data engineering + GCPYou should be capable of taking a feature from:Architecture → Data Pipeline → Database → API → Frontend → Launch → Analytics → IterationThis is an opportunity for someone who wants real ownership over a growing product and enjoys solving complex backend, data, and infrastructure challenges. 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, Enough React, JavaScript, or TypeScript experience to work productively within an existing frontend codebase, 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