Science, technology, engineering, and mathematics (STEM) occupations have a growing presence in industry with increasing employment opportunities and offer some of the highest incomes in the labor market. Despite these benefits, women are underrepresented in these fields and experience a gendered wage gap. This study examined the role of sex and age along with education in regards to earnings in STEM. Using a sample of 7,636 full-time workers age 25 to 66 in various STEM jobs two theoretical approaches of human capital theory and gender schema theory were explored for these workers. The results indicate that men make more than women and older workers make more than younger workers; however, the younger cohort of women is making more comparable wages to younger cohorts of men than older women are making to older men. In all models, education resulted in the largest in earnings. Also, earnings of other minority groups of women are larger in reference to white non-Hispanic women in younger cohorts compared to older cohorts.