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
Senior Data Engineer — Snowflake, Data Privacy & Pipelines
Senior Data Engineer builds and maintains Snowflake-based data platforms, implements governance and privacy workflows, and designs scalable ETL/ELT pipelines using Python/Bash.
Data Engineer – Data Governance
Design and implement data-governance practices for regulated industries, using GCP tools like BigQuery, Dataplex, and policy tags to catalog, trace, and secure data assets end-to-end.
Data Engineer: Scalable Pipelines & AI-Driven Data
Builds and maintains scalable data pipelines and integrations using BigQuery, Dataform, and Python, focusing on governance and processing of unstructured data for legal-domain solutions.
Data Engineer
Build and maintain data pipelines, models, and BigQuery structures for Banco Falabella’s Data Lake, ensuring reliable, high-quality data for business decisions and operations.
Data Engineer Senior – Pipelines & BigQuery (Híbrido)
Senior Data Engineer builds and maintains ELT/ETL pipelines, optimizes Google Cloud Platform and BigQuery, and ensures reliable data for BI, channels, and finance teams at a retail bank.
Data Engineer
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
GCP Data Engineer: Scalable Pipelines & Analytics
Designs and maintains GCP-based batch and streaming data pipelines, enabling advanced analytics and BI dashboards with tools like Power BI and Looker.
Data Engineer
Build and maintain data pipelines and architectures to consolidate customer data for marketing activation, using tools like Airflow, BigQuery, and dbt.
Data Engineer (Semi Senior) – GCP Data Pipelines
Builds and maintains GCP-based data pipelines, ingesting and transforming data while ensuring regulatory compliance and data quality.
Data Engineer
Build and maintain a federated lakehouse platform for a LatAm SaaS group, transforming siloed data into trusted, auditable domains that power real-time financial decisions across Chile, Mexico and Argentina.
Data Engineer
Builds and maintains ETL/ELT pipelines on Azure for a Chilean bank, using Databricks, Synapse, and Data Factory to move and transform financial data.
Hybrid Data Engineer: ETL Pipelines & Cloud Data Mastery
Designs, builds, and optimizes ETL pipelines into a data warehouse, ensuring data quality and pipeline robustness while collaborating with data science and analytics teams.
Data Engineer
Build and maintain a federated data lakehouse for a LatAm SaaS group, transforming siloed data into governed, multi-region domains that power analytics, APIs, and AI agents for accounting, payroll, and e-invoicing apps.
GCP Data Engineer: Cloud Pipelines & Analytics
Builds cloud data pipelines and analytics tools on GCP, integrating systems with Python, SQL, and ETL workflows.
Data Engineer
Build and maintain robust data pipelines and platforms that power analytics and business decisions across fintech, logistics, and edtech domains using SQL, ETL/ELT tools, and data warehouses.
Data Engineer
Build cloud data pipelines and analytics tools for retail planning, integrating legacy systems with modern cloud platforms like GCP to power inventory and sales decisions.
Data Engineer (Semi-Senior) – Build Scalable Data Pipelines
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
AWS Cloud Data Engineer: Pipelines, Redshift & Automation
Design and build AWS-native data pipelines, optimize Redshift/S3 storage, and automate ETL with Python/SQL for a global client.
Data Engineer
Builds and maintains data pipelines, integrates systems, and ensures secure data architecture for an e-commerce platform using SQL/NoSQL, Python, Go, and cloud tools like AWS and Azure.