10+ years of professional experience in data engineering or applied data science Expert-level proficiency in Python Deep understanding of data modeling Deep understanding of prompt crafting Deep understanding of reproducible workflows Exceptional attention to detail and quality control Proven success in high-impact technical environments Experience with statistics, hypothesis testing, and storytelling with data (preferred) Background in producing training data, developer tools, or reproducible research (preferred) Strong writing skills (preferred)