Data Engineering Jobs in Chile
There are 280 open Data Engineering jobs in Chile on freehire right now. 65 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Most requested skills
- sql 59%
- python 53%
- cloud 43%
- etl 41%
- analytics 31%
- elt 30%
- aws 29%
- data-engineering 25%
How the work is done
- Remote 34 · 12%
- Hybrid 29 · 10%
- Onsite 2 · 1%
Visa sponsorship offered in 31% of the 13 postings that state a position on it.
Seniority
- Senior 78
- Lead 20
- Staff 7
- Junior 4
- Intern 1
- Principal 1
Who is hiring
- 1000+ employees 28
- 501-1000 employees 22
- 51-200 employees 7
- 11-50 employees 5
Data Engineer Semi Senior (GCP)
Builds and optimizes GCP-based data pipelines, models data in BigQuery, and creates dashboards in Looker Studio for analytics.
Principal Data Engineer Remote, Distributed Systems Leader
Principal Data Engineer designs and optimizes scalable distributed data systems and pipelines for U.S. clients, working remotely with international teams.
Data Engineer - Semi Senior a Senior
Builds and maintains ETL/ELT pipelines, models data warehouses, and ensures reliable data for reporting and analytics using SQL, Python, and cloud tools.
Senior Data Engineer – ETL, Data Lakehouse & Analytics
Designs and builds ETL/ELT pipelines and data models for a scalable data warehouse and lakehouse to power analytics and reporting.
Observability Data Engineer: OpenTelemetry on Azure
Build and maintain OpenTelemetry-based observability pipelines on Azure, using Python and SQL to ensure data service continuity and incident prevention.
GCP Data Engineer: Lakehouse, Data Products & DataOps
Designs and evolves a GCP-based data and AI platform, building scalable pipelines, analytical models, and DataOps processes to ensure data quality, availability, and governance.
Data Engineer & Insights Architect (AWS + Tableau)
Design and maintain cloud-based data pipelines and analytics solutions using AWS and Tableau to deliver business insights.
Azure Data Engineer – ETL, Data Quality & Synapse
Design and build data pipelines in Azure Synapse, ensuring high-quality, reliable data for analytics and reporting using SQL, PySpark, and cloud ETL/ELT tools.
Senior Data Engineer Azure • Databricks • Spark
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Senior Data Engineer: Azure Databricks & Lakehouse
Design and build scalable Azure Databricks Lakehouse data platforms using Python, SQL, and Spark; collaborate with Data Science teams on modern data architectures.
Senior Data Engineer - Data Quality & AWS Platform
Senior Data Engineer builds and maintains AWS data pipelines, ensuring quality and consistency via ETL/ELT and Medallion architectures.
Data Engineer IDMC | Remoto/Híbrido | ETL & PowerCenter
Designs and maintains ETL pipelines using Informatica IDMC and PowerCenter to move and transform data for analytics and reporting.
Data Engineer: Construye y Escala Datos en AWS
Data Engineer builds and scales AWS-based data pipelines to integrate sources, optimize storage, and deliver continuous business insights for Cencosud’s Advanced Analytics team.
Data Engineer Semi Senior y Senior
Build and maintain scalable data pipelines, ETL/ELT processes, and optimize Snowflake queries and Airflow workflows using Python and AWS services.
Senior Snowflake Data Engineer - Data Platform Architect
Designs and maintains Snowflake-based data pipelines and scalable models using SQL, Python, and ETL/ELT tools for a product company.
Data Engineer Semi Senior - HIBRIDO - GCP
Build and maintain cloud data pipelines on GCP, designing ELT/ETL processes and serverless data engineering solutions to feed a corporate data warehouse.