Data Engineering Jobs in Argentina
There are 484 open Data Engineering jobs in Argentina on freehire right now. 109 of them were posted recently. The skills employers ask for most often are sql, python and data-pipelines.
Most requested skills
- sql 59%
- python 55%
- data-pipelines 45%
- analytics 43%
- cloud 42%
- data-engineering 42%
- aws 40%
- etl 39%
How the work is done
- Remote 125 · 26%
- Hybrid 11 · 2%
- Onsite 2 · 0%
Visa sponsorship offered in 24% of the 25 postings that state a position on it.
Seniority
- Senior 233
- Lead 50
- Middle 9
- Staff 4
- Principal 3
- Intern 2
Who is hiring
- 1000+ employees 51
- 501-1000 employees 24
- 51-200 employees 11
- 11-50 employees 6
- 201-500 employees 3
Azure Data Engineer — ETL & Synapse Specialist (Remote)
Build and maintain ETL pipelines in Python on Azure Synapse Analytics to move and clean data for clients.
Data Engineer Ssr / Sr — Python, AWS, Terraform, Pinecone
Build and maintain cloud-native data pipelines and vector search infrastructure on AWS, Terraform, and Pinecone to power AI-driven products with multi-tenant architectures.
Senior Data Engineer: Snowflake & dbt for Global Finance
Build and maintain a Snowflake-based financial data platform, designing schemas and dbt pipelines to ensure reliable, scalable data flows for reporting and analytics.
Lead Data Engineer – Snowflake / AWS Platform Leader
Lead a team to build and maintain Snowflake-based data platforms and ELT pipelines on AWS, ensuring data quality, governance, and reliability for analytics and business workflows.
Senior Data Engineer – AI-Ready Finance Data Platform
Design and maintain Snowflake data architecture and dbt models for financial reporting in a fintech platform.
Client-Facing Lead Data Engineer: Snowflake & AWS
Lead a team building Snowflake-based data platforms and AWS pipelines, designing scalable ELT workflows and data governance for enterprise clients.
Senior Data Engineer: Scale Airflow, dbt & BigQuery on GCP
Own and scale a GCP-based data platform using Airflow, dbt, and BigQuery to transform raw data into analytics-ready insights while optimizing costs and mentoring teams.
Senior Data Engineer – Microsoft Fabric, Azure
Designs and builds scalable data pipelines and BI solutions using Microsoft Fabric, Azure Data Factory, and Power BI for analytics and reporting.
Data Engineer (SQL-focused)
Data Engineer reviews existing SQL code, ETL jobs, and data flows to validate and document how the current data platform operates, ensuring business rules are correctly implemented.
Senior Data Engineer — Remote, Snowflake & Airflow
Design and build scalable ETL/ELT pipelines, optimize Snowflake data warehouses, and implement DataOps practices using Python, CI/CD, and Docker for reliable analytics.
Senior Data Engineer – Data Quality & Observability Remote
Senior Data Engineer builds and maintains scalable data-quality frameworks using tools like Great Expectations to validate pipelines, track lineage, and monitor data integrity across domains.
Senior Data Engineer — AWS Data Platform (Remote)
Senior Data Engineer builds and maintains AWS-based data pipelines, ETL jobs, and warehouses for clients, ensuring scalable, reliable data infrastructure.
Data Engineer: Real-Time Analytics & Scalable Pipelines
Designs and builds scalable data pipelines and real-time analytics features for Walmart’s supply chain using Spark, SQL, and cloud platforms like GCP/Azure.
Data Engineer (Buenos Aires)
Designs and maintains scalable data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and big data tools.
Senior Data Engineer - Scalable Data Platform (Remote)
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas for reliability and accessibility.
Senior Principal Data Engineer — 100% Remote
Designs, scales, and optimizes large distributed data systems and pipelines for U.S. clients, working in SQL and NoSQL environments.
AI Data Engineer: Build AI-Ready Pipelines (Remote)
Build and maintain AI-ready data pipelines that transform raw data into insights for an internal AI platform, using Python, SQL, and Snowflake.
Mid-Level Data Engineer
Design and build scalable ETL pipelines in Azure Data Factory and SQL Server, migrating to Microsoft Fabric for unified enterprise reporting and analytics using Power BI.
(USA) Data Engineer III
Build and maintain scalable data pipelines and warehouses for Walmart’s supply-chain analytics using Spark, Kafka, and cloud platforms like GCP/Azure.
Data Engineer - Open application
Build and maintain scalable data pipelines and cloud-based data models to deliver actionable marketing insights using Python, SQL, Airflow, and dbt.