Python Developer

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 DETAILSCompensation: $37–$42 USD/hourLocation: Remote from Latin AmericaSchedule: Full-time, 40 hours/week aligned with US Central TimeType: Long-term international independent contractorHiring 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 APIsDesign and optimize ETL and large-scale data processing pipelinesWork extensively with BigQuery and advanced SQLManage scheduled jobs, queues, background processes, and asynchronous workflowsWork with GCP infrastructure including Compute Engine, Cloud Storage, Pub/Sub, monitoring, and load balancingOptimize how data is precomputed, packaged, cached, compressed, and servedDebug issues across data sources, pipelines, databases, APIs, infrastructure, and the frontendContribute to React/Next.js/TypeScript features using AI coding toolsOwn selected features from architecture and data pipeline through API, frontend, deployment, analytics, and iterationMonitor performance, reliability, scalability, and product usage after launch
MUST-HAVES
Strong professional experience with Python backend development and production APIsAdvanced SQL and hands-on BigQuery experience with large datasetsProduction experience with Google Cloud Platform (GCP)Strong experience building ETL/data pipelinesExperience with asynchronous processing and background jobsStrong understanding of data architecture, system design, performance optimization, and debuggingEnough React, JavaScript, or TypeScript experience to work productively within an existing frontend codebaseDaily experience using AI coding tools such as Claude, Cursor, or GitHub CopilotStrong English communication skills for daily standups and 1:1s with the CEOExperience with Git and modern development workflows
NICE-TO-HAVES
Experience with PostHog or other product analytics platformsExperience working with geographic or time-series dataExperience 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 servicesYour backend experience is mostly CRUD applications without large-scale dataFrontend development is your strongest skill setBackend, 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.