Netflix CEO Explains Why He Pays Technologists Huge Salaries - Dice Insights

Data has backed up that assertion; for example, crowdsourced compensation numbers from levels.fyi suggest that Netflix’s software engineers can make nearly half a million dollars per year, well ahead of what they might earn at rivals such as Disney and Amazon.

However, there’s a lot of debate in the tech industry about whether exceptional developers and engineers are actually multiple times more effective than other colleagues. .

Back in 2017, a developer named Jonathan Solorzano-Hamilton wrote a Medium posting that went super-viral within the tech industry.

Sure, Solorzano-Hamilton is just telling his personal story—but as one Fast Company article breaks down, the tech industry is filled with geniuses who thought they were infinitely better than the technologists around them… only for reality to come crashing in, either via blown deadlines or a broken software product.

An exceptional developer is great, in other words, but their presence alone won’t magically solve issues or complete projects.

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Estimated base salary using job title, location, and skills

Dice predicts salary ranges based on the job title, location, and skills listed in

than 600,000 data points to make its predictions

Dice's predictive salary model is a proprietary machine-learning algorithm

given combination of job title, location and experience, the Dice model can make

The model does

this by recognizing patterns in the more than 600,000 salary data points to infer

how much each factor - job title, location, experience, education, and skills - will