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
Remote Cloud Data Engineer — AWS Pipelines & Redshift
Designs and maintains AWS-based data pipelines and Redshift warehouses, transforming raw data into insights using Python, SQL, and infrastructure-as-code.
Data Engineer – Proyecto
Build and maintain robust data pipelines in GCP using Python, SQL, and tools like Airflow and Spark to ingest, transform, and monitor large-scale datasets.
Data Engineer (Semi Senior)
Build and maintain scalable data pipelines on Google Cloud, enabling reliable analytics and modernizing legacy systems with Dataform, Python, and SQL.
Data Engineer (LATAM Airlines)
Build and maintain scalable data pipelines for LATAM Airlines’ sustainability platform, integrating corporate sources into a reliable, traceable data architecture using GCP tools like BigQuery, Dataflow, and Dataform.
Senior Data Engineer
Senior Data Engineer builds and maintains Snowflake and dbt pipelines for a global tax-compliance platform, owning the revenue data chain from billing to financial close and ensuring outputs support finance and AI consumers.
Data Engineer GCP OCI
Data Engineer builds and maintains cloud data pipelines on GCP and OCI, using Kubernetes, Docker, GitLab CI/CD, and OAS documentation.
Senior Data Engineer: Scalable AI Pipelines & Infra
Build and maintain scalable data pipelines and infrastructure to support AI-driven services using Python and SQL.
Práctica de Data Engineer: Pipelines, ETL y Python (Híbrida)
Build and maintain cloud-based ETL pipelines in Python, automating data workflows while collaborating with data science teams.
Data Engineer - Hybrid (Migrations & Data Architecture)
Data Engineer designs and migrates data pipelines, builds scalable architectures, and works with SQL/NoSQL, Go, Kotlin, Python, Maven, and AWS.
Cloud Data Engineer - AWS Pipelines & AI-Ready Platforms
Designs and builds scalable AWS data pipelines in Python and SQL for batch and streaming workloads, integrating AI-ready components.
Data Engineer AWS
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Senior Data Engineer
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.
Senior Data Engineer – Azure Databricks & Pipelines
Senior Data Engineer builds and maintains Azure Databricks pipelines in Python to process and transform data for Accenture’s internal tech teams.
Data Engineer: End-to-End Pipelines & Quality
Build and maintain ETL pipelines for a mortgage analytics platform using SQL and data quality best practices.
Senior Data Engineer
Design and maintain Snowflake-based data pipelines and governance solutions, ensuring privacy, quality, and compliance while collaborating on scalable data architecture.
Data Engineer: Build Scalable ETL Pipelines & Dashboards
Build and maintain scalable ETL pipelines on Google Cloud Platform, transforming raw data into reliable assets for analytics and strategic decisions using SQL, Python, Looker Studio, and Grafana.