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 - GCP & OCI | Hybrid (3/2), Kubernetes
Builds and maintains data pipelines on GCP and OCI using Kubernetes and Docker to support analytics and reporting.
Senior Data Engineer: Snowflake/dbt Lead for Finance Data
Senior Data Engineer builds and maintains Snowflake-based data architecture and dbt pipelines for a finance data platform, ensuring reliability and data quality.
Data Engineer Semi Senior – Área Tecnología Corporativa
Build and maintain cloud-based data pipelines and warehouses for a retail company, enabling analytics, automation, and AI-driven decision-making with Google Cloud, BigQuery, Python, and SQL.
Data Engineer AWS - ETL/PySpark in Cloud, Global Projects
Builds and optimizes AWS-based ETL/ELT pipelines in Python/PySpark, ensuring data quality and cost efficiency for global projects.
Senior Data Engineer - Snowflake/dbt for Finance Data
Own end-to-end data pipelines, architect Snowflake and dbt models, and deliver finance-ready insights for FP&A and leadership in a fintech context.
Data Engineer: ETL/ELT y Diseño de DB para Analítica
Build and maintain ETL/ELT pipelines and database designs to feed reliable analytics for a large insurance company’s data-driven decision making.
Data Engineer (Semi Senior) - Databricks, SQL & AWS
Build and maintain cloud data pipelines using Databricks, SQL, and AWS to feed analytics and data-science teams.
Data Governance Engineer: Scale Data Catalogs
Designs and scales data governance practices using Python/SQL and GCP tools to ensure reliable, traceable, and well-cataloged data for business and tech teams.
Data Engineer (Semi Senior) – Databricks, SQL & AWS
Designs, builds, and optimizes cloud data pipelines using Databricks, SQL, and AWS for analytics and data science teams.
Data Engineering Lead: Automate Pipelines & BI
Lead a team to build automated data pipelines and BI systems, replacing manual reports and enabling predictive analytics for a fintech company.
Senior Data Platform Engineer – Distributed Systems
Designs and builds scalable data platforms and pipelines for background check systems using Python and distributed systems.
Senior Data Engineer - Azure ETL for Banking (Hybrid)
Designs and maintains Azure-based ETL/ELT pipelines for a Chilean bank, using Data Factory, Databricks, Synapse, and Azure DevOps.
Data Engineer Experto - Modelado, dbt y Conectores en Nube
Designs and scales a data platform using SQL, dbt, and cloud connectors to integrate SaaS sources and prepare datasets for BI and AI.
Senior Snowflake Data Engineer (m/w/d)
Build and optimize a Snowflake-based data platform, design scalable data architectures, and own ETL/ELT pipelines using SQL, Python, and cloud tools.
Microsoft Fabric Data Engineer — Azure Synapse & Power BI
Designs and maintains scalable data pipelines using Microsoft Fabric, Azure Synapse, and Power BI to deliver enterprise reporting and insights.
Remote Data Engineering Tech Lead — Pipelines & Impact
Lead a team to design and build production-grade data pipelines using Python and Airflow, ensuring reliability and alignment with business goals.
Data Engineer: Pipelines & Analytics (Chile)
Design and maintain data pipelines (ETL/ELT) on Google Cloud Platform to ensure clean, reliable data for analytics and decision-making across teams.