Salary of a Data Science / Data Engineer in Colombia

Colombia stands out for the high quality of its developers, excellent English proficiency in urban centers, and direct time zone alignment with the US (COT time zone). It also offers competitive operating costs for foreign companies.

Senior developers overwhelmingly prefer foreign contractor arrangements paid in USD. Junior developers often prefer direct local employment under Colombian labor law for its stability and statutory benefits.

Medellín is widely recognized as the country's innovation and technology hub. Bogotá houses the corporate headquarters of major companies and multinational startups, while Cali and Barranquilla are growing sources of skilled talent.

This profile works with data from two angles: building pipelines, models, and data platforms, and performing advanced analysis for prediction, segmentation, or automation. It often collaborates with product, business, engineering, and analytics teams.

Common tools include Python, SQL, Spark, Airflow, dbt, notebooks, cloud data warehouses, machine learning tooling, APIs, and storage services. For data engineering, Kafka, Docker, Kubernetes, and CI/CD are also valuable.

Statistical modeling, MLOps, data architecture, governance, pipeline optimization, business communication, and the ability to deploy models to production significantly increase this profile's value.