Cool! These are indeed very common graph-building steps.
Thinking outloud here, but some of these were supposed to be solved with RML (https://rml.io/) for the RDF paradigm. I witnessed a bit of their evolution: it started with similar operations as GraFlo and eventually they built some support for arbitrary java code. For example, say you want your node ID to be generated by concatenating the values of the firstName column and the lastName column, but only after some weird string normalization (think of making sure everything is utf8)... you woundn't want to make your schema-mappings Turing-complete, so you'd eventually have to allow for calling other functions. Any way, all of that was for RDF graphs, it's cool to see something like this for property graphs.
Application process seems pretty nice. The questions posed for the data science positions suggest a very strong graph-theoretic team is in place. They are looking for top-notch mathematicians, not boot-camp data scientists at all.
Do be aware that in the borg collective FAQs they mention NFTs in an apparently positive note, if that is of any relevance to you.