How do you guys usually handle nulls?

Currently, I am doing a project that related to EEOC (Equal Employment Opportunity) .My data has pretty significant nulls

Gender field has \~35% nulls

Race field has \~30% nulls

Job field has\~20% nulls

What should I do with these nulls? If I remove all of the fields that contain nulls, it may degrade my analysis. Any other alternatives?

data datascience employment fields gender job project race