Machine Learning Engineers: How Critical is Data to Your Daily Workflow?

Hey MLEs, how important is data in your day-to-day workflow? Are you sourcing it from open-source datasets, building your own, annotating internal datasets, or using third-party services? And what type of data is the hardest to get—language data, domain-specific, or something else?