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
Data Engineer: Build Scalable Pipelines for Global Insights
Build and maintain scalable data pipelines for marketing insights using SQL, Python, and tools like Airflow/dbt on AWS/GCP/Azure.
Semi Senior Data Engineer
Builds and maintains batch and streaming data pipelines on Databricks (Delta Lake, Spark) to feed analytics and trading systems for a fintech investing platform.
Mid-level Data Engineer
Build and maintain scalable data pipelines and cloud-based architectures to support AI/ML and business intelligence for clients, using tools like Spark, Kafka, and cloud platforms.
Senior Data Engineer — Remote & Flexible Schedule
Senior Data Engineer builds and scales a modern data platform using Python, Snowflake, Airflow/Prefer/Dagster, and CI/CD for reliable ETL/ELT pipelines and DataOps.
Lead Data Engineer (Microsoft Fabric)
Lead the design and implementation of ETL pipelines and data models in Microsoft Fabric to unify ERP data for AI and analytics workloads.
Senior Data Engineer, Data Ops - LatAm (Azure)
Senior Data Engineer builds and maintains reliable cloud data pipelines for MetLife’s LATAM Data Hub, ensuring clean data delivery for analytics and business reporting across Latin America.
Senior Data Engineer – Data Operations
Senior Data Engineer maintains and troubleshoots enterprise data pipelines on Azure, ensuring reliable data delivery for LATAM operations and analytics.
ENT1691 Associate Data Engineer
Build and maintain large-scale data pipelines and reservoirs to support machine learning models and analytics for data scientists and statisticians.
Lead Data Engineer for Fabric & AI Pipelines
Lead the design of AI-ready data pipelines using Microsoft Fabric, set ETL standards, and mentor a team to integrate 80+ ERP systems into a unified analytics platform.
Sr. Data Engineer (Snowflake)
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
Senior Data Engineer, Data Operations (Hybrid Azure)
Senior Data Engineer builds and maintains the LATAM Data Hub, ensuring reliable data delivery to business and digital channels using modern cloud and AI-driven tools.
Lead Data Engineer - Remote Analytics & Data Lake
Lead a team building and scaling an S3-backed data lake and OLAP pipelines for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Senior Data Engineer – Remote, Cloud ETL & Data Lakes
Senior Data Engineer builds and maintains cloud-based ETL pipelines and data lakes for enterprise analytics, focusing on scalable backend systems and data governance.
Senior Data Engineer — Data Ingestion & Lakehouse
Senior Data Engineer builds and maintains Preply’s data lake and ingestion pipelines, ensuring reliable, high-quality data for analytics, ML, and product features.
Semi Senior Data Engineer
Builds and maintains scalable data pipelines and reservoirs to support analytics, ML models, and reporting using SQL, Python, and Microsoft tech stacks.
Data Engineer Azure Data Factory (ADF) - Argentina | 100% remoto
Build and maintain ETL/ELT pipelines in Azure Data Factory and Databricks, ingesting and transforming data into clean, analytics-ready datasets using PySpark, SQL, and cloud storage.
Cloud Data Engineer | AI & Real-Time
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
Prod Support Data Engineer (T-SQL)
Build and maintain SQL-based data pipelines and SSIS packages, troubleshoot live issues, and optimize queries to support business analytics and reporting.