Data Engineering Jobs in Colombia
There are 661 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 41%
- 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 286
- 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
Senior Data Engineer, Cloud Data Platforms - Colombia
Designs and builds scalable cloud data pipelines and lake architectures using Python, PySpark, SQL, and AWS tools like Glue, Athena, and Redshift.
Freelance Data Engineer (SAP Data Platform) - Hybrid
Build and maintain cloud-based data pipelines and models for a global SAP-focused data platform using Snowflake/Databricks, Python, AWS, dbt, and SQL.
Data Engineer II — ETL, Cloud & BI Pipelines
Build and expand ETL/ELT pipelines to integrate sports and entertainment data, load it into a data warehouse, and support BI reporting.
Data Engineer: Databricks & Redshift Migration (Remote)
Data Engineer to migrate from Amazon Redshift to Databricks, building pipelines with AWS services like S3, Glue, and Athena while enforcing data governance.
Remote Lead Data Engineer - ETL, Data Lake, Airflow
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using Airflow, AWS S3, Athena, and EKS.
Lead Data Engineer — Remote, Flexible Hours, Growth
Lead a team to design and maintain scalable data pipelines and analytics infrastructure for a marketing analytics platform using AWS, S3, Athena, and Airflow.
Microsoft Fabric Senior Data Engineer
Design and build scalable data pipelines and lakehouse architectures using Microsoft Fabric, Azure Databricks, and Spark to enable robust analytics and reporting for a global packaging leader.
Data Engineer Lead: Automate & Scale BI Pipelines (Remote)
Lead a team to build and automate scalable data pipelines, converting manual Excel reports into robust analytics workflows and supporting predictive model production using SQL Server, Python, and Databricks.
Remote Data Engineer - Databricks & AWS Migration
Builds and maintains Databricks pipelines and jobs to migrate a data platform from Amazon Redshift to Databricks, using AWS services like S3, Glue, and Athena.
Cloud Data Engineer - ETL & Analytics
Designs and builds cloud data pipelines and ETL processes, then delivers Power BI dashboards to support regional analytics at a major bank’s Bogotá tech hub.
Remote Databricks Data Engineer — ETL & Lakehouse
Designs and maintains scalable ETL pipelines on Databricks, building lakehouse architectures with PySpark and SQL to deliver analytics-ready datasets.
Senior Data Engineer - Remote, Cloud & ETL Expert
Design and maintain scalable data pipelines and warehouses for public-sector clients using AWS/Azure, ensuring data quality and enabling data-driven decisions.
Ingeniero Databricks certificado | Data Engineer
Designs and implements large-scale data pipelines in Databricks using Spark and Python notebooks for a product-focused team.
Data Science / Data Engineer - Remote Work | REF#281387
Interview and vet data scientists and engineers, then build and improve predictive data solutions with developers and architects.
Senior Data Engineer Lead — Remote & Flexible Hours
Lead a team to design and maintain large-scale data pipelines and foundational systems using SQL and Python for a Bogotá-based tech firm.
Data Engineer Sr- Remote Latam – ID #00199
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
Senior Marketing Data Engineer & Insights Architect
Senior Marketing Data Engineer builds and automates data pipelines and analyzes marketing performance metrics using Python and SQL.