Data Engineering Jobs in Colombia
There are 662 open Data Engineering jobs in Colombia on freehire right now. 100 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Most requested skills
- sql 60%
- python 56%
- cloud 42%
- data-pipelines 41%
- etl 40%
- analytics 38%
- data-engineering 38%
- aws 37%
How the work is done
- Remote 150 · 23%
- Hybrid 20 · 3%
- Onsite 1 · 0%
Visa sponsorship offered in 15% of the 27 postings that state a position on it.
Seniority
- Senior 287
- Lead 65
- Junior 18
- Middle 12
- Staff 9
- C-level 1
Who is hiring
- 1000+ employees 60
- 501-1000 employees 41
- 51-200 employees 8
- 11-50 employees 4
- 201-500 employees 3
Data Engineer
Build and maintain data pipelines and BI systems for a Latin American school network, using SQL, Python, and Google Cloud.
Data Engineer
Build and maintain scalable data pipelines in Microsoft Fabric/Azure to power analytics and AI for a top North American furniture retailer.
Data Engineer: End-to-End Pipelines & Data Quality
Designs, builds, and maintains end-to-end data pipelines for analytics and reporting on a mortgage platform using SQL, Microsoft Fabric Dataflow Gen2, and ETL tools.
Senior Data Engineer – ML Pipelines & Growth (Remote)
Build and own scalable data pipelines and ML-ready datasets, transforming raw data into reliable inputs for machine learning models.
Data Engineer
Builds and maintains Python-based data pipelines for insurance accounting (IFRS 17), transforming and validating actuarial data at scale.
Data Engineer: Azure Data, Databricks & ETL Pipelines
Builds and optimizes scalable ETL pipelines on Azure and Databricks for analytics and BI, using SQL, Python, and CI/CD with Azure DevOps.
Senior Data Engineer: Databricks Pipelines + Lakehouse
Designs, builds, and maintains scalable data pipelines and ETL workflows using Databricks and Apache Spark to support analytics and ML workloads.
Senior Data Engineer: Azure ETL Pipelines & Data Warehouse
Designs and builds scalable Azure ETL pipelines and data warehouses using Spark, Kafka, Docker, and Kubernetes to ensure reliable data processing and availability.
Data Engineer – Databricks Migration & Pipelines (Remote)
Build and operate Databricks pipelines and jobs to migrate a data platform from Amazon Redshift, integrating with AWS services like S3, Glue, and Athena.
Hybrid QA Data Engineer: Data Quality & Pipeline Validation
Builds and runs automated tests to validate data pipelines and ensure accuracy for enterprise data initiatives, collaborating with data engineering and analytics teams.
Data Engineer
Build and maintain data pipelines, ETL/ELT logic, and curated datasets to power analytics and dashboards for a smoke-free future initiative.
Lead Data Engineer
Lead a team designing and building end-to-end data pipelines, warehouses, and analytics for clients using cloud platforms, SQL, Python, and DevOps practices.
Data Engineer
Senior Data Engineer builds scalable pipelines, warehouses (Snowflake), and ML workflows in Azure to power analytics and AI agents, collaborating with scientists and product teams.
Senior Data Engineer: Lead Scalable Pipelines & Data Platform
Senior Data Engineer builds and scales cloud data pipelines, warehouses, and governance for analytics and AI tooling at a product-focused tech company.
Senior Data Engineer
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Senior Data Engineer: Scale Pipelines, Spark & Data Lakes
Design, build, and optimize scalable data pipelines using Databricks, Spark, and Delta Lake for analytics and ML workloads, ensuring data quality and governance.
Data Engineer - Remote, Latin America
Build and maintain data pipelines and models in AWS, integrating sources like SQL Server and Redshift to power BI dashboards and analytics for clients.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
AWS Data Engineer
Builds and maintains AWS-based data pipelines using Python, PySpark, and AWS Glue to feed datasets and support BI dashboards.
Junior Data Engineer
Build and maintain data pipelines and cloud-based architectures for Fortune 500 clients, coding primarily in Python or Scala and working with Spark, Azure, and Databricks.