We've seen SWE salary data on levels.fyi, Glassdoor, Teamblind, LinkedIn, 1point3acres, Reddit, etc.
Each differing in data quality and perhaps biased in certain ways.
If we are to study the distribution of SWE salary and its correspondence with years of experience and location, and change over time, what would be a good approach?
Ideally, some fuzzy enough logic can be applied to parse their data.
We've seen SWE salary data on levels.fyi, Glassdoor, Teamblind, LinkedIn, 1point3acres, Reddit, etc. Each differing in data quality and perhaps biased in certain ways. If we are to study the distribution of SWE salary and its correspondence with years of experience and location, and change over time, what would be a good approach?
Ideally, some fuzzy enough logic can be applied to parse their data.