Salary of a Data Science / Data Engineer in Chile

Chile has one of the most stable and digitalized economies in the region. The local corporate sector (banking, retail, mining) and the fintech ecosystem pay high salaries in Chilean Pesos (CLP) that often reduce the incentive to look for international remote jobs if language skills are a barrier.

The financial sector (Fintech and traditional banking) and Retail (massive regional E-commerce chains) lead hiring. Additionally, there is an emerging demand for software development and automation in the mining sector.

Santiago concentrates almost the entire corporate and startup ecosystem (backed by the historic Start-Up Chile program). Valparaíso and Concepción stand out as major university breeding grounds for high-quality engineering 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.