This paper considers deadline dependent pricing and its impact to datacenter net profit optimization. We formulate the problem by jointly maximizing total revenue as a function of individual job deadlines and minimizing electricity cost through job scheduling over different time and locations. These two complementary objectives-the maximization of revenue and the minimization of cost-are mutually-dependent due to the coupling of job completion time and scheduling decisions. Lever-aging a new approximation method for job completion time, we develop two low-complexity, distributed algorithms for the net profit optimization. Through numerical evaluations, we show the efficacy of the proposed algorithms as well as the net profit improvements.