Today, data teams and their stakeholders can use tools ranging from data warehouses to ELT services, that reduce their dependence on data engineering resources. In this post, Matt Arderne argues that in the future, most companies will not need data engineers to develop and manage their data pipelines. Instead, he predicts that three opportunities will emerge: 1) most companies will need analytics engineers, who develop and manage data models; thereby enabling analysts and others to use data effectively; 2) some companies (e.g. with real-time data use cases) may need software engineers with expertise in data management; 3) many companies will need Data Platform Engineers to implement tools and assemble the Modern Data Stack.