Here is what happened to the software development market in May 2015. For previous months, take a look at the Gooroo Insights series.
We are currently analysing ~500,000 tech jobs every single month, half of which are in the software development area. This provides a unique dataset which can tell us what skills organisations are hiring for and what salaries they're advertising.
The overall view
The lower end of the scale continues to be very crowded with most of the niche skills. Although many of these skills are favoured by software developers, the demand in the job space is still very low (< 2% of mentions). However, when they are asked for, functional languages like Clojure, Haskell, Scala, and F# command above average salaries. We still see that many of these jobs are for Java Developers with these languages mentioned "in passing".
Average salary in the USA rose slightly by ~$1,000USD in May. This follows the trend of generally rising salaries throughout the country this year. The most variation is seen in the niche, low demand languages.
Python is continuing to rise in popularity. In May we saw demand and salary equal that of C++.
No surprises, C# still wins in the UK.
Of the lower demand skills, R continues to pay extremely well. With mentions in 2.5% of ads, jobs are offering just under $120,000 AUD for this skill.
Key take-away points
The love affair between the UK and C# continues. Yet the pay for C# skills as fallen to £10,000 below what is normally offered for Java.
Ruby and Python skills in the UK are paying similar salaries as Java, although demand is significantly lower.
Important points about this analysis
When reading these charts, the lower the demand for a skill, the less reliable the salary indicators become. It only takes a handful of jobs to shift the data point. To compensate for this, we've used a weighted average based on the number of jobs at various salary points, although even this isn't perfect.
Job data is extremely useful as it's plentiful and provides a lot of fascinating and interesting data to work with. It also has its challenges. You should read our full disclosure about the analysis for an insight into these challenges.