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 (CL & CO)
Builds and maintains scalable data pipelines on GCP, transforming raw data into reliable assets using Python, SQL, and Medallion architecture to support analytics and decision-making.
Data Engineer (CL & CO)
Builds and maintains scalable data pipelines in GCP, transforms raw data into trusted assets, and creates dashboards in Looker Studio and Grafana to support business decisions.
Data Engineer Observability (OpenTelemetry)
Maintain and troubleshoot OpenTelemetry-based observability pipelines, ensuring telemetry ingestion and diagnosing issues across logs, metrics, and traces in Azure environments.
Data Engineer GCP
Build and maintain scalable data pipelines on GCP, using Python, SQL, Spark/Scala, and Airflow to enable analytics and automation for client projects.
Data Engineer / Insights Engineer
Build and optimize AWS-based ETL pipelines and SQL analytics, then create Tableau dashboards that turn raw data into business insights for stakeholders.
Senior Data Engineer: Cloud Data Architect
Designs modern cloud data architectures, builds scalable ETL/ELT pipelines, and delivers analytics solutions using Azure, PySpark, and Python.
Data Engineer Senior
Design and build scalable cloud data pipelines and warehouses using Python, PySpark, and Azure services to power analytics and business insights.
Lead Data Engineer: Automate Pipelines & Predictive AI
Lead a team to build and automate data pipelines for reporting, BI, and predictive AI using Python, Databricks, SQL Server, and Tableau.
Data Engineer Semi Senior
Builds and maintains data pipelines on Google Cloud Platform, ensuring data quality and regulatory compliance while collaborating with technical and business teams.
Data Engineer Senior - Data Quality
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Data Engineer Semi Senior
Build and maintain scalable data pipelines on Microsoft Azure, using Azure Data Factory, Databricks, PySpark, and Python to integrate and transform data for digital-transformation projects.
Azure Data Engineer (Semi Senior) – ETL & Pipelines
Designs and builds Azure-based ETL pipelines and data integration solutions using Data Factory, Databricks, PySpark, SQL, and Python.
Data Engineer Experto
Build and maintain data pipelines, models, and connectors using SQL, dbt, and cloud tools to deliver clean, standardized datasets for analytics and AI.
Data Engineer - Plazo fijo
Builds and maintains scalable data pipelines and storage systems on AWS to feed analytics and business processes across a large Latin American retail company.
Data Engineer - (Chile y Colombia)
Design and standardize data models for business journeys, ensuring consistency and traceability using SQL, BigQuery, and Python in a GCP environment.
Senior Data Engineer - Lakehouse & Cloud Pipelines
Senior Data Engineer builds scalable cloud data pipelines and Lakehouse architectures using Python, SQL, PySpark, and Azure for modern data projects.
Senior Data Engineer (Snowflake) — Remote
Designs and maintains scalable data pipelines and cloud data warehouses (Snowflake/BigQuery), optimizing ETL/ELT processes and enabling self-service analytics for distributed teams.
Data Engineer Sr
Design, build, and optimize scalable data pipelines and ETL/ELT workflows using GCP, dbt, and Airflow to integrate and process enterprise data from SAP and APIs.
Data Engineer GCP
Build and optimize GCP-based data pipelines and Lakehouse architecture to transform raw data into strategic business assets using BigQuery, Dataform, and Medallion model.