Salary of a Data Science / Data Engineer in Perú

Working remotely for international companies, primarily from the US or Europe, allows Peruvian developers to earn salaries in USD, which significantly exceed the average compensation packages offered by the local corporate market.

Yes. With the rise of remote work and nearshoring, most foreign startups and tech companies pay directly in USD via international payment platforms, shielding developers' earnings from local currency fluctuations.

JavaScript/TypeScript (React, Node.js) continues to lead the market. Python is highly sought after for AI and data science, while Java remains dominant in the traditional banking and corporate sectors.

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.