Roles remotos de AWS para candidatos en Argentina.

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, implement, and optimize data pipelines that extract, transform, and load data into Snowflake from multiple sources using Airflow and AWS services

• Senior
• AWS
• Snowflake
• SQL

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

• Senior
• AWS
• MongoDB
• Python
• +3

Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).

• Senior
• AWS
• Azure
• Python
• +1

Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.

• Senior
• AWS
• Azure
• Python
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.

• Lead
• AWS
• Snowflake

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

• Senior
• AWS
• Docker
• LLM
• +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

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

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

Define and enforce best practices for secure coding, dependency management, and design reviews across engineering teams

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

Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.

• Senior
• AWS
• CI/CD
• Docker
• +3

Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.

• Middle
• AWS
• Azure
• Docker
• +4

Lead and mentor the team, fostering skill development and best practices.

• Senior
• AWS
• Azure
• Docker
• +3

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