Professionals in the IT industry rely on accurate salary projections to make informed career decisions. Predictive models help them understand potential earnings, negotiate better compensation, and plan their financial future. In this paper, we study the aspect of salary trends within the software engineering and data science sectors. Utilizing a public online database containing data on the salaries of computer science professionals, this research offers valuable insights into future salary trends, with a specific focus on software engineers and data scientists. Additionally, we highlight the efficiency of ARIMA algorithm in predicting salary trends. The predictive model would empower stakeholders with actionable insights, filling a critical void in understanding salary dynamics within the respective fields.