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
Remote Lead Data Engineer — OLAP, AWS & Airflow
Lead a team to design and maintain scalable OLAP pipelines on AWS, using Airflow for orchestration and S3-backed data lakes for marketing analytics.
Data Engineer (Semi Senior) - Data Lakehouse, AI & Cloud
Builds and maintains a modern data lakehouse and cloud pipelines using Python, REST APIs, and cloud services to enable AI and analytics workloads.
Senior Data Engineer – Scalable ETL for Music
Design and maintain scalable ETL pipelines for music data using Python, PostgreSQL, Spark, and AWS, transforming raw records into business insights in a fast-paced startup.
Remote Data Engineer: Redshift & Data Infrastructure
Designs, optimizes, and maintains large-scale data processing systems using Amazon Redshift and relational databases to support business data needs.
Data Engineer (SQL-focused)
Data Engineer analyzes existing SQL code, ETL jobs, and data pipelines to validate processes and document the current data ecosystem for an AI services provider.
AWS Data Engineer
Builds and maintains cloud-based ETL/ELT pipelines using AWS services like Glue, Lambda, and Redshift, with Python and SQL for data transformation and optimization.
AWS Data Engineer - ETL, Warehousing & Cloud
Designs and builds cloud-based ETL/ELT pipelines using Python, AWS Glue, Lambda, EMR, Redshift, and S3 to move and transform data for scalable warehousing.
DATA ENGINEER SR
Build and optimize data pipelines on GCP, model data in BigQuery, and create Power BI dashboards to turn raw data into strategic insights for clients.
Data Engineer
Builds and maintains data pipelines, warehouses, and AI-driven solutions using Python, SQL, and cloud tech to support analytics and ML workflows.
Senior Data Engineer – Marketing Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines for digital marketing and advertising, focusing on DataOps and cloud infrastructure (GCP/AWS) with dbt, Terraform, and CI/CD.
Senior Data Engineer ID71670
Senior Data Engineer builds and scales modern data pipelines, optimizes Snowflake schemas, and implements DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Senior Scala Engineer | Remote, Growth & AI Data Platform
Senior Scala engineer building and scaling data platforms (Snowflake, BigQuery) to power business intelligence and AI-driven analytics for clients.
Senior QA Engineer - End-to-End Data Platform (Remote)
Senior QA Engineer validating real-time data platform metrics (OEE, KPIs) and end-to-end data flow integrity across APIs and SQL pipelines.
AI Data Platform Engineer — BigQuery & Infra
Owns and scales Dialpad’s AI data infrastructure in Buenos Aires, managing BigQuery, cloud storage, Vertex AI pipelines, and Dataform to deliver clean, analytics-ready datasets for AI and product teams.
Senior Data Platform Engineer - Remote EST Overlap
Own and scale the data infrastructure for AI and financial analytics products, ensuring reliable, multi-tenant pipelines and rapid incident response.
AI Infrastructure Engineer — Secure Data Platform
Builds and secures the AI-powered mortgage platform’s infrastructure using Go, Python, TypeScript, Terraform, and AWS.