Side-by-side comparison of salary, skills, and career outlook for Machine Learning Engineer and Data Engineer positions in 2026.
Machine Learning Engineers earn approximately $25,000 more per year on average.
Highlighted skills are shared between both roles (1 skills in common).
Machine Learning Engineers design, build, and deploy ML models and systems that can learn from data and make predictions at scale. They bridge the gap between data science research and production engineering, focusing on model optimization, pipeline automation, and serving infrastructure. The role requires deep understanding of both ML algorithms and software engineering best practices.
Data Engineers design, build, and maintain the data infrastructure and pipelines that enable organizations to collect, store, and analyze data at scale. They create ETL/ELT processes, manage data warehouses and lakes, and ensure data quality and availability for analysts and data scientists. The role requires strong programming skills, database expertise, and knowledge of distributed computing systems.