Data Engineering Jobs in Colombia
There are 659 open Data Engineering jobs in Colombia on freehire right now. 97 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Most requested skills
- sql 59%
- python 56%
- cloud 41%
- data-pipelines 41%
- etl 40%
- analytics 38%
- data-engineering 38%
- aws 37%
How the work is done
- Remote 147 · 22%
- Hybrid 20 · 3%
- Onsite 1 · 0%
Visa sponsorship offered in 15% of the 27 postings that state a position on it.
Seniority
- Senior 285
- Lead 65
- Junior 18
- Middle 11
- 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
Dropi is seeking a Data Engineer to design and maintain scalable data pipelines and warehousing solutions using AWS technologies. The role involves collaborating with cross-functional teams to ensure data integrity and performance within their e-commerce platform.
Lead Data Engineer
The Lead Data Engineer will guide a team in migrating legacy Python/Spark ETL pipelines to dbt Core models on Databricks. This role involves hands-on technical leadership, designing scalable data models, and establishing CI/CD workflows for a large-scale platform modernization initiative.
Hybrid Junior Clinical Data Engineer - Build Data Solutions
A junior clinical data engineer building and maintaining databases, designing data solutions for EDC/RTSM/eCOA/ePRO, implementing data quality controls, and delivering dashboards using SQL, Python, and cloud-based data platforms.
Junior Clinical Data Engineer - Hybrid with Dashboards
Junior Clinical Data Engineer building and maintaining clinical databases and reporting tools (EDC/RTSM/eCOA projects), transforming data into actionable insights using Python and SQL on a hybrid basis.
Jr. Clinical Data Engineer
Builds and maintains clinical databases for clinical trials, integrating systems like EDC, RTSM, and eCOA/ePRO. Uses SQL/Python to transform data, validate logic, and create dashboards while ensuring GCP compliance and audit readiness.
GCP Data Engineer — Pipelines y ETL/ELT, Onsite Bogotá
Data Engineer on GCP responsible for operating, supporting, and optimizing enterprise data platforms, managing ETL/ELT pipelines and analytical environments in production, onsite in Bogotá.
Data Engineer GCP
Data Engineer responsible for operating, supporting, and optimizing enterprise data platforms on Google Cloud Platform, managing ETL/ELT pipelines and ensuring data quality and security in an on-site role in Bogotá.
Jr. Clinical Data Engineer
Jr. Clinical Data Engineer building and maintaining clinical databases and systems (EDC, RTSM, eCOA/ePRO), implementing data logic, developing reporting solutions, and validating system functionality for clinical trials using Python, SQL, SAS, or R.
Data engineer
Develops and optimizes institutional browsers for market research studies, ensuring performance and user efficiency through functional analysis, requirement documentation, and client-facing support.
Senior Data Engineer - (Talent Pool / Future Opportunities)
Build and maintain robust data pipelines, implement automated quality checks, and ensure reliable data for downstream systems using Python/TypeScript, SQL, and AWS while collaborating with AI coding agents.
Senior Data Engineer
Senior Data Engineer to migrate legacy Python/Spark ETL to dbt Core on Databricks, building maintainable models, enforcing testing, and ensuring output parity for analytics and BI.
Remote AWS Data Engineer Long-Term Contract
BigCheese is seeking a remote Data Engineer in Colombia to build and maintain data infrastructure and pipelines using AWS technologies, Python, and Scala.
Data Engineer - Databricks & Snowflake
The Data Engineer will build, maintain, and troubleshoot data pipelines within a Databricks and Snowflake ecosystem. The role focuses on operational excellence, including incident resolution, performance optimization, and monitoring production data platforms.
Senior Data Engineer Lead
The Senior Data Engineer Lead will design and maintain scalable data pipelines on Google Cloud Platform while managing a team of three engineers. The role focuses on building robust data infrastructure and collaborating with cross-functional teams to support data-driven business objectives.