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
Senior Data Engineer - Remote Data Lake & ETL Architect
Design and maintain a high-volume marketing analytics data lake and ETL pipelines using AWS, S3, and Airflow to process and orchestrate near-real-time data flows.
Remote Data Engineer: Snowflake & GCP Pipelines
Build and optimize Snowflake-to-GCP data pipelines using Python, Snowpark, and cloud-native architectures for high-performance data governance and observability.
Remote Senior Data Engineer: Scalable Pipelines & Real-Time Data
Senior Data Engineer designs and scales cloud-based data pipelines, from batch to real-time, to support low-latency analytics and ML workflows for global clients.
Data Engineer (Latam)
Designs and builds ETL pipelines on AWS to integrate and transform franchise advertising data, ensuring quality and real-time/batch processing for analytics.
Senior Data Engineering Expert - Data Hub Riesgos, AI Transformation
Designs and operates data ingestion and transformation pipelines for an AI-focused platform, ensuring data quality, governance, and security using Spark, Scala, and HDFS.
Senior Data Engineering Expert - Data Hub Finance, AI Transformation
Design, build, and run data ingestion and transformation pipelines for a financial analytics platform using Spark, Scala, and HDFS while enforcing quality, traceability, and governance.
Azure Data Engineer — ETL & Synapse Specialist (Remote)
Build and optimize ETL pipelines using Azure Synapse Analytics and PySpark to move and transform data for clients.
Remote Data Engineer: End-to-End Snowflake & GCP Pipelines
Senior Data Engineer builds and maintains end-to-end Snowflake-to-GCP pipelines, using Snowpark, UDFs, and IAM security to transform and govern data with high observability.
Senior Data Engineer - Snowflake & GCP (Remote)
Senior Data Engineer builds and optimizes Snowflake-to-GCP pipelines using Snowpark, Python UDFs, and Streams for multi-cloud data processing and governance.
Senior Data Engineer
Design and maintain data infrastructure using Snowflake and GCP, build pipelines, and write SQL for analytics and reporting in a hybrid role.
Data Engineer
Build and maintain ETL/ELT pipelines for financial data using Apache Spark and AWS Glue, ensuring data quality and traceability.
Senior Data Engineer ID82269
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML,…
Data Engineer
Build and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Python, SQL, and AWS/Azure/Google Cloud for analytics and AI projects.
Programador Staff - Data Engineering
Build and maintain scalable data pipelines using Python/Scala, SQL, Spark, and cloud tools to move and transform data for analytics and reporting.
Senior Data Engineer, Colombia
Design and build scalable data pipelines and cloud data warehouses for global clients using Azure, SQL, and Spark, ensuring data quality and governance during a critical migration.
Data Engineer
Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Consultor Medior de Data Engineering & Analytics Bilingüe
Builds and maintains data pipelines and BI dashboards for clients, using SSIS, Azure Data Factory, SQL Server, and Power BI to turn raw data into strategic insights.