The "right tool for the job" is a myth (EDIT: exaggerating; clearly it applies in some cases). Languages don't work together very well, so you need huge, thick boundaries between them, such as serialization/deserialization. Data types don't match up, GCs require special data formats and don't line up with the GCs of other languages, other runtime weirdness, etc. At minimum, you need lots of copying/transformation of the data.
Have a gnarly problem in a Python program that Haskell would be perfect for? Too bad. You'll spend more time figuring out how to transform the data and get the Python code to call into Haskell than you'll save by using the right tool. And in the process, the overhead, complexity, and bugs introduced in this process turn the right tool into the wrong tool.
And that's the reason why C is so important. It actually does work with pretty much any language, because it has a defined ABI, simple data types, minimal runtime, can work on any data formats unmodified, no GC. Very few languages have this superpower.
C++ mostly has that superpower, but some features don't entirely work with unmodified structures (RTTI and virtual functions both require adding magical fields to the class structure). Rust seems to have this superpower (does dynamic dispatch a different way than C++, so can always work on unmodified structures).
The JVM is an interesting case and the ecosystem of languages built on it do work better together because they have the exact same runtime (GC, etc.).
To summarize: we'd all like to use the right tool for the job. But we can't, except for the languages that go out of their way to make this effective, and that list of languages is very short.