A Data Wrangling developer is responsible for discovering, organizing, and transforming raw data into a more suitable and valuable format for analysis purposes. They handle large amounts of data, clean it by eliminating redundancies and inaccuracies, and format it to be easily accessible. They often use programming languages like Python or R to automate processes. They also ensure data quality and accuracy, which involves dealing with missing values, inconsistent string formats, and incorrect values. Their goal is to provide clean, high-quality data that can facilitate decision-making, predictive modeling, and business intelligence.