This research investigates the influence of Data Science and Artificial Intelligence (AI) competencies on the early career earnings of engineering graduates across various disciplines and geographic regions. Data from secondary data sources are collected which includes salary surveys, industry reports, academic studies. This data is utilized to identify key trends in employability that may result in salary variation. The research utilizes coding in python framework for data analysis and data visualization. It explores data related to educational background, curriculum design and employer expectations and aligns them with the on growing demand of AI and Data Science competencies. The findings highlight that engineering graduates with AI and Data Science expertise are most likely to receive higher salary offers, particularly in technology-driven organizations and industries such as finance, healthcare, and manufacturing. This underlines out the requirement for universities to incorporate AI-based learning to bridge the skill shortage and improve employability. The research also highlights. The pattern in the data will show that why engineering education will require transformation to keep up with the technological advancements. This will clearly define that a deeper understanding is required to understand how these tends evolve over time. This is crucial in designing educational frameworks that support development of AI and Data Science skills among engineering graduates.