Salary of a Data Science / Data Engineer in Mexico

The USMCA and the nearshoring boom have driven hundreds of US companies to hire Mexican developers operating in the same time zone. This has consistently driven up average local compensation and created a highly competitive bilingual market.

Guadalajara is the historical center for tech design and manufacturing. Monterrey stands out for its digitized industrial and corporate presence, while Mexico City (CDMX) is the primary hub for fintech startups and mobile services.

JavaScript/TypeScript (React, Node.js), Python, and Java (highly requested by banks and financial institutions) are in top demand. Proficiency in SQL and NoSQL databases is also heavily evaluated.

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.