Roles remotos de SQL para candidatos en Argentina.

Design and implement scalable ETL processes

• Senior
• AWS
• MongoDB
• PostgreSQL
• +3

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

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

• Senior
• AWS
• Azure
• GCP
• +3

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

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

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

Experience:8+ years of professional software engineering experience in enterprise-grade full-stack environments. Language:Full verbal and written fluency in English.

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

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

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

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

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

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

• Senior
• AWS
• Docker
• Kubernetes
• +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

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

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

• Middle
• AWS
• Azure
• Docker
• +4

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