Data Engineering Jobs in Argentina
There are 485 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 234
- Lead 50
- Middle 9
- Staff 4
- Principal 3
- Intern 2
Who is hiring
- 1000+ employees 52
- 501-1000 employees 24
- 51-200 employees 11
- 11-50 employees 6
- 201-500 employees 3
Lead AWS Cloud Engineer - Data Platform & AI Delivery
Lead AWS cloud engineering for a data platform that ingests third-party market data and powers AI/ML use cases across J.P. Morgan in an Agile environment.
Integration Engineer - Customer Data Platform (CDP)
Build and maintain data integrations and pipelines for a customer data platform, connecting systems via APIs and ensuring reliable, secure data flows for activation and identity resolution.
Data Engineering Manager: Lead Scalable Data Platforms
Lead a team of data engineers to design and scale data platforms for analytics, building scalable pipelines and models in Databricks while driving governance and performance improvements.
Integration Engineer - Customer Data Platform (CDP)
Design and maintain API-driven data integrations and pipelines for a customer data platform, ensuring reliable data flows and identity resolution across systems.
Senior Software Engineer | Data Platform
Build and lead Humand’s data platform, integrating HR tools like HubSpot and Stripe into a centralized warehouse and enabling BI reporting for customers.
Senior Analytics Engineer - Growth Data Platform
Build and optimize data models to power growth decisions for a large Latin American food-delivery platform, using SQL, Python, Airflow, and BI tools.
Azure Databricks Platform Engineer — Data Platform Ops
Maintains and optimizes enterprise data platforms on Azure and Databricks, troubleshooting pipelines and analytics workloads while providing L2/L3 support for Azure Data Factory, Synapse, ADLS, Key Vault, and DevOps.
Senior Data Platform Engineer - GCP, Airflow & DBT
Build and maintain scalable data pipelines on GCP using Airflow, dbt, and BigQuery to support analytics and business growth.
Senior Data Platform & Analytics Engineer
Own and evolve scalable data pipelines on GCP/BigQuery, ensure data quality, and partner with finance for accurate reporting.
Security Management - Data Engineer - EY Global Delivery Services
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Senior Data Engineer — AI-Driven Health Data in AWS
Senior Data Engineer builds and optimizes AWS-based pipelines for healthcare data, migrating from batch ETL to event-driven streaming with FHIR, Glue/Spark, Redshift, and Kinesis.
Azure Security Data Engineer — Flexible, Global Impact
Engineer and secure Azure data pipelines for global analytics, integrating security data and automating reporting to protect EY assets.
Senior Data Engineer (with AI/ML experience)
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Data Engineer AWS: Glue, Spark & GenAI – Hybrid
Builds and optimizes AWS Glue and PySpark ETL pipelines for large-scale data reconciliation, validation, and migration on AWS.
Data Engineer AWS (Glue/Spark/GenAI)
Build and optimize AWS-based ETL pipelines using Glue, PySpark, and EMR Serverless to migrate and transform large datasets for a tech-sector client.