Vagas remotas de Python para candidatos em México.

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

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

• Senior
• AWS
• Docker
• Kubernetes
• +4

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.

• Senior
• Azure
• GCP
• Python
• +2

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

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

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

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

• Senior
• AWS
• Azure
• CI/CD
• +4

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.

• Senior
• AWS
• CI/CD
• Docker
• +8

Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support

• Python
• Snowflake
• SQL

Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level

• Senior
• AWS
• Python
• SQL

4+ years of software development experience

• Senior
• AI
• Android
• Flutter
• +11

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

• Senior
• AI
• Android
• Flutter
• +11

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

• Senior
• React
• Golang
• Node.js
• +14

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

• Senior
• DevOps
• AI
• Android
• +18

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

• Senior
• React Native
• React
• Node.js
• +11

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

• Senior
• React
• Node.js
• AI
• +11