Per industry reports cited in the talk, Ruby is listed among the top-5 languages required for data roles. Because ~80% of data work is scraping and preparing data, and data teams prioritize developer velocity over raw execution speed, Ruby's expressiveness makes it an excellent fit — one Ruby line often beats 20 Python lines. Ruby engineers should confidently apply for data-engineering roles.