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 - Colombia y Chile
The Data Engineer will design and optimize data pipelines for branding and performance monitoring, utilizing GCP, Python, and SQL. The role involves building data ingestion processes and developing silver/gold data layers to support ML models and business decision-making.
Data Engineer - CL
The Data Engineer will design and maintain scalable data pipelines and products on GCP to support operational efficiency and fuel consumption analysis. The role involves implementing data governance, optimizing processing, and utilizing tools like Python, BigQuery, and Dataform.
Data Engineer
ACL is seeking a Data Engineer with at least 3 years of experience to design and optimize ETL pipelines and manage data infrastructure. The role involves working in a hybrid environment in Santiago using Python, SQL, NoSQL, and Power BI.
Data Engineer
NeuralWorks is seeking a Data Engineer to build and maintain scalable data infrastructure and pipelines to support AI-driven projects. The role involves working with cross-functional teams to ensure high availability and performance of data services using Python and cloud-based technologies.
Data Engineer
The Data Engineer will design and maintain data pipelines to support advanced analytics and digital transformation initiatives at ARAUCO. The role involves processing, cleaning, and preparing data for cross-functional teams using Python, SQL, and cloud technologies.
Data Engineer: Build Scalable AI Pipelines (Remote/Hybrid)
Data Engineer building and scaling data systems, pipelines, and infrastructure to handle large data volumes with a focus on automation and performance, using Python, SQL, and cloud platforms (GCP/AWS/Azure).
Data Engineer: Real-Time Analytics & Semantic Layer
Builds a federated lakehouse with immutable data and automated tests, exposing certified metrics via a semantic layer for multiple domains.
Hybrid Data Engineer – ETL, Python & Power BI
The Data Engineer will design ETL pipelines and manage data infrastructure to transform data into strategic insights. The role requires proficiency in Python, SQL/NoSQL modeling, and Power BI within an agile environment.
Senior Cloud Data Engineer — Clinical Trials Analytics
Senior Data Engineer builds and maintains data pipelines for clinical trial analytics using SQL Server/MySQL and SSRS in a regulated environment.
Data Platform Engineer (102-08SENG-01)
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
Data Engineering Manager (Databricks)
Designs and maintains semantic data layers and KPI models using Databricks to enable governed executive dashboards and AI-driven analytics, integrating multi-source enterprise data while ensuring quality, security, and governance.
Data Engineer
The Data Engineer will design, build, and optimize cloud data pipelines and semantic layers using Google BigQuery to support analytical decision-making. The role involves collaborating with cross-functional teams to ensure data scalability, consistency, and performance.
BigQuery Data Engineer — Pipelines, Semantics & Analytics
The Data Engineer will design, build, and optimize cloud data ingestion architectures using Google BigQuery, ETL/ELT pipelines, and data modeling. The role involves collaborating with cross-functional teams to manage semantic layers, data governance, and query performance.
Data Engineer - CL
Build and maintain cloud-native data pipelines on GCP for an aerospace client, designing Medallion-architecture solutions and ensuring data quality and governance.
Data Engineer Intern
A hands-on internship where you’ll build data pipelines, optimize databases, and support data-driven decisions under mentorship, gaining real-world experience in data engineering fundamentals.
Data Engineer
Designs and optimizes cloud-based data architectures in BigQuery, building scalable pipelines and semantic layers to enable business analytics and decision-making.
Senior Data Engineer: Azure DataBricks & Pipelines
Senior Data Engineer responsible for designing and managing data solutions using Azure DataBricks and pipelines, collaborating with teams to transform data into actionable insights.