Salary of a DAX programmer in Chile

Explore the average salary of a programmer according to seniority and Skills. Use the calculator for more accurate results based on your search.

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Calculate salary based on skills and experience

Salary based on Seniority

In Chile, junior developers with DAX profile have an average salary of 700 dollars per month. Senior profiles, with more experience, can reach salaries of up to 4030 dollars.

Salary in:

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Min
Half
Max
junior
$ 700.00
$ 850.00
$ 1000.00
mid
$ 2150.00
$ 2625.00
$ 3100.00
senior
$ 2795.00
$ 3412.50
$ 4030.00

*The last update of the data in this report is from 2026. Coming from internal sources, discover how Talently works. Here.

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Frequently asked questions about DAX 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.

DAX is used to create measures, calculations, semantic models, and analytical reports in Power BI, Analysis Services, and Microsoft BI environments. It is common in BI developer, data analyst, analytics engineer, and reporting specialist roles.

DAX maintains strong demand because of the widespread adoption of Power BI in companies. Its relevance grows when organizations need reliable metrics, consistent data models, and self-service analytics.

Power BI, SQL, Power Query, dimensional modeling, advanced Excel, Azure, data visualization, ETL, and data storytelling complement DAX well. Understanding filter context, relationships, and model performance is also essential.

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