Roles remotos de Python 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, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4

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

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +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

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

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

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

• Senior
• AWS
• MongoDB
• Python
• +3

4+ years working as a Data Engineer in modern cloud environments.

• Senior
• CI/CD
• GCP
• 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

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