Data analyst vs. Data engineer

A data engineer is involved in the development of platforms and architecture for data processing. In other words, they are responsible for developing the foundation for where various data operations occur. They work with both structured and unstructured data and need expertise in both SQL and NoSQL databases. They are typically more experienced with core programming concepts and algorithms.

There are many differences between a data analyst and a data engineer including salary expectations and responsibilities.

Here are the key differences between a consultant and an analyst:

• Data analysts make approximately $59,000 annually

• Data engineers make approximately $90,000 annually

• Data analysts require a Bachelor's degree and good statistical knowledge

• Data engineers require a Master's degree in a related field and a good amount of experience as a data analyst

• Data analysts are responsible taking action on a dataset based on the current scope of the company

• Data engineers are responsible for developing the platform on which data analysts and scientists perform their work

• Data analysts deal only with structured data

• Data engineers deal with both structured and unstructured data