Remote Data Engineer — Scalable Pipelines & Warehousing

Pavago; Argentina; A distancia; ARS 136.170.000 - 196.690.000; Jornada completa

Descripción de la vacante

Pavago is hiring a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and business decisions for a US client.

This fully remote role aligns with US client business hours and offers opportunities to build reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams.

Formación

• 3+ years of experience in Data Engineering, Data Infrastructure, or Back-End Engineering.
• Strong Python and SQL skills.
• Experience with Snowflake, BigQuery, Redshift, or similar cloud data warehouses.
• Hands-on experience with Airflow, Prefect, or similar orchestration tools.

Responsabilidades

• Build and maintain ETL/ELT pipelines using Python, SQL, or Scala.
• Manage cloud data warehouses and design scalable data models.
• Implement validation, monitoring, and data governance standards.
• Build real-time data pipelines and streaming workflows.
• Collaborate with analysts, data scientists, and business teams on analytics initiatives.
• Deploy data services using Docker and Kubernetes and support CI/CD pipelines.

Conocimientos

Python

SQL

ETL/ELT design

Data modeling

Cloud data architectures

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Snowflake

BigQuery

Redshift

Airflow

Prefect

Descripción del empleo

Pavago is hiring a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and business decisions for a US client.

This fully remote role aligns with US client business hours and offers opportunities to build reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams.