Have you ever written the perfect data analysis? Has it still ran unchanged 6 months later? Can your colleagues run it without you? Just because your analysis is executable, it doesn’t mean the results are reproducible. Data ages. Libraries change. Machines differ. Servers go down. Bits rot. Entropy is inescapable. We can learn how to engineer reproducibility by drawing on techniques from functional programming and the MLOps movement.