Salary of a Data Science / Data Engineer in Uruguay

Uruguay is the largest exporter of software per capita in Latin America and a global leader in software services. Its software development ecosystem is highly mature, driven by successful home-grown tech firms (like dLocal) and foreign multinationals establishing local development offices.

Uruguay has highly favorable tax laws that exempt income derived from exporting software and related services from corporate income tax (IRAE) under specific conditions. This strongly incentivizes building software for international markets.

Uruguay has a relatively high cost of living compared to the LATAM average. As a result, local tech employers must pay higher base salaries to sustain developers' purchasing power and stay competitive against international recruiters.

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.