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

Casado; Brazil; Remote; BRL 222,000 - 266,000; Full time

Job summary

Casado is seeking a Sr. Backend Developer (Python / Data Engineering / GCP) for a remote, international opportunity. The role focuses on building robust Python backend systems and APIs, ETL pipelines, and data workflows using BigQuery and GCP in production.

You will collaborate with data science and product teams, optimize performance and costs, and contribute to frontend integration with React/TypeScript using AI tooling. English fluency and extensive backend experience are required.

Qualifications

• Advanced English required for daily standups and 1:1 with CEO.
• 10+ years of backend development experience.
• 8+ years Python experience.
• 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.
• Strong Python backend development and production APIs.
• Experience with BigQuery on large historical/geographic datasets with cost/performance awareness.
• GCP in production: Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring and load balancing.
• ETL/data‑processing pipelines, scheduled jobs, queues, background processes, and async workflows.
• Data architecture, system design, performance optimization and debugging across data, pipelines, databases, APIs, infrastructure and user-facing apps.
• Some React/JavaScript/TypeScript knowledge to work in frontend codebase.

Responsibilities

• Own Python backend systems and APIs.
• Handle ETL and data‑processing pipelines.
• Run BigQuery workloads on large historical/geographic datasets.
• Set up scheduled jobs, queues, and asynchronous workflows.
• Manage GCP infrastructure: Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring, load balancing.
• Design data packaging, caching, and serving for efficiency.
• Improve performance, reliability, and monitoring across systems.
• Collaborate on frontend changes in React/Next.js/TypeScript with AI-assisted components.

Skills

English proficiency

Backend development

Python

APIs

Data engineering

Tools

BigQuery

Google Cloud Platform

ETL pipelines

React/TypeScript basics

Job description

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)

Requirements

• 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
• Strong professional experience with Python backend development and APIs in production
• BigQuery and advanced SQL on large historical and geographic datasets, with attention to 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 and asynchronous workflows
• Data architecture, system design, performance optimization and debugging across source data, pipelines, databases, APIs, infrastructure and the user‑facing app
• Enough React, JavaScript or TypeScript to work productively inside an existing frontend codebase. 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 feature was 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 estate investors in the US, with more than 2million users. The platform processes data across 30,000+ 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 company is 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 and load 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 and connect them to backend systems
• Selected features end to end, from technical planning to launch, analytics and iteration

A 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 and troubleshoot production systems yourself. Backend and data engineering stay your primary responsibility, but the client wants someone who takes a feature across the finish line instead of stopping once the API is done.

Shipping is not the finish line. You should care whether users actually adopted the feature, how it performs, and what to improve next.

This role is not a fit if your experience is mainly data engineering without building APIs, if your backend work has been mostly CRUD without large‑scale data, or if frontend is your strongest skill.