Roles remotos de Python para candidatos en Brasil.

Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)

• Senior
• Python
• SQL

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.

• Middle
• AWS
• CI/CD
• Docker
• +4

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data

• Middle
• AWS
• Azure
• GCP
• +4

Design and maintain ETL/ELT pipelines for large-scale data processing.

• Senior
• AWS
• Azure
• GCP
• +3

Build and maintain Python Notebooks to ingest data from third-party APIs

• Senior
• Azure
• Python

Develop long-term technical vision for the team

• Senior
• CI/CD
• GCP
• Python
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

• Senior
• AWS
• MongoDB
• Python
• +3

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)

• Middle
• AWS
• Azure
• Docker
• +6

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

• Senior
• React
• AI
• Android
• +14

Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).

• Senior
• Azure
• CI/CD
• Docker
• +4

Build core product experiences including ReactJS portals, Flask-based APIs, and batch interfaces used across all GenLogs applications.

• Senior
• Java
• JavaScript
• Python
• +2

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Flutter
• +12