As the digital economy continues to develop, the socio-economic structure and lifestyle have undergone significant changes, which have had a profound impact on the labor market. To explore the mechanism of the digital economys impact on income, this study builds a personal panel data model from a micro perspective and conducts an empirical analysis. The matching situation of individuals in terms of employment and income is assessed through the skill-job matching degree and skill-income matching degree. A bidirectional fixed-effects model is used for calculation and analysis, comprehensively considering individual characteristics, skill levels, job requirements, and other factors. This study examines the direct and indirect effects of the digital economy on income and explores its influencing mechanisms.