Sr. Backend Developer (Python / Data Engineering / GCP)

Mercado de Ti; Brasil; Teletrabalho; BRL 259 000 - 299 000; Tempo integral

Resumo da oferta

Mercado de Ti procura Sr. Backend Developer com foco em Python, engenharia de dados e GCP para atuar em um ambiente remoto internacional. O profissional trabalhará com APIs em produção, ETL, BigQuery e infra GCP, incluindo otimização de custos e desempenho.

O candidato ideal possui mais de 10 anos em backend, 8+ anos em Python e experiência prática com BigQuery, SQL avançado e pipelines de dados. Será necessário uso de ferramentas de IA no dia a dia e familiaridade com frontend básico em

Qualificações

• Mais de 10 anos em backend development.
• 8+ anos com Python em produção.
• 5+ anos com BigQuery e SQL avançado.
• 5+ anos com GCP em produção.
• ETL e pipelines de dados com trabalhos programados.
• Uso diário de ferramentas de IA para codificação.

Responsabilidades

• Desenvolver sistemas back-end em Python e APIs em produção.
• Construir pipelines ETL e processar dados em grande escala.
• Executar workloads avançados em BigQuery e SQL complexo.
• Gerenciar jobs agendados, filas e processos assíncronos.
• Gerir infraestrutura GCP: Compute Engine, BigQuery, Cloud Storage, Pub/Sub.
• Trabalhar com frontend em React/Next.js/TypeScript quando necessário.

Conhecimentos

Backend development

Python

BigQuery

Google Cloud Platform

ETL pipelines

APIs in production

AI coding tools

Frontend basics (React/TypeScript)

Ferramentas

BigQuery

GCP (Compute Engine, Cloud Storage, Pub/Sub)

SQL

Descrição da oferta de emprego

# Sr. Backend Developer (Python / Data Engineering / GCP)Amazing DevsCandidate-searrow\\_forwardCanal oficial da empresaCltRemotoEngenharia de Dadospin\\_dropBrasilschedulehá 3 diasPublicidade# publicidade## O que a vaga pede**Sr. Backend Developer (Python / Data Engineering / GCP)**International job opportunity!! **USD 4.3k ± R$ 22.000** Remote** Central Time hours (11h to 20h BRT, 12h to 21h during US winter)**** Required**** English – Advanced (daily standups and daily 1:1 with the CEO)** 10+ Years Backend Development 8+ Years Python 5+ Years Google BigQuery and advanced SQL 5+ Years Google Cloud Platform in production 5+ Years ETL and data pipelines Daily hands-on use of AI coding tools — HARD REQUIREMENT About the AI requirement: the client expects daily use of Claude, Cursor or GitHubCopilot to understand unfamiliar code, troubleshoot, write tests, refactor and buildfrontend features without pulling in a separate frontend developer.Strong professional experience with Python backend development and APIs in production.BigQuery and advanced SQL on large historical and geographic datasets, with attentionto cost and query performance.Google Cloud Platform in production: Compute Engine, BigQuery, Cloud Storage, Pub/Sub,monitoring and load balancing.ETL and data-processing pipelines, scheduled jobs, queues, background processes andasynchronous workflows.Data architecture, system design, performance optimization and debugging across sourcedata, pipelines, databases, APIs, infrastructure and the user-facing app.Enough React, JavaScript or TypeScript to work productively inside an existing frontendcodebase. You do not need to be a frontend specialist.**Nice to Have**PostHog or other product analytics tools, with the habit of checking whether a featurewas actually adopted after launch.Experience with geographic or time-series data.Caching, pre-computation and data packaging for high-traffic applications.** Description / Responsibilities:****What You'll Do**Our client is the leading source of housing market data for homebuyers and real estateinvestors in the US, with more than 2 million users. The platform processes data across30,000+ ZIP codes, 3,000+ counties and 50+ data points, with datasets going back decades,and runs one of the most accurate housing forecasting systems in the industry. The companyis profitable and growing.**You will own:**\\* Python backend systems and APIs\\* ETL and data-processing pipelines\\* Advanced SQL and BigQuery workloads on large historical and geographic datasets\\* Scheduled jobs, queues, background processes and asynchronous workflows\\* GCP infrastructure: Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring andload balancing\\* How data is precomputed, packaged, cached, compressed and served efficiently\\* Performance, reliability, scalability and monitoring\\* Frontend changes in React/Next.js/TypeScript, using AI tools to build components andconnect them to backend systems\\* Selected features end to end, from technical planning to launch, analytics and iterationA typical feature runs architecture, data pipeline, database, API, frontend, launch,analytics review and iteration.**What We're Looking For:**This is a hands-on role. You will write code, investigate bugs, deploy solutions andtroubleshoot production systems yourself. Backend and data engineering stay your primaryresponsibility, but the client wants someone who takes a feature across the finish lineinstead of stopping once the API is done.Shipping is not the finish line. You should care whether users actually adopted thefeature, how it performs, and what to improve next.This role is not a fit if your experience is mainly data engineering without buildingAPIs, if your backend work has been mostly CRUD without large-scale data, or if frontendis your strongest skill.