What does a Data Engineer do?
A data engineer creates and maintains analytics infrastructure. They build, maintain, and operate databases and large-scale processing systems. They also create data processes. A data engineer uses data to help a machine perform its duties. While a data scientist helps ask the right questions, a data engineer helps gather and collect the answers in addition to storing and processing them.
Working as a Data Engineer
A skilled data engineer has extensive knowledge of databases and the best engineering practices. This includes:
- Handling and logging errors
- Monitoring the system
- Building pipelines that can tolerate human fault
- Knowing what is necessary to scale up
- Addressing constant integration
- Knowing how to administer the database
- Maintaining data cleaning
- Ensuring a deterministic pipeline
Data engineers typically have several years of experience as software engineers.
How much does a Data Engineer make in the United States?
Average base salary
The average salary for a data engineer is $135,207 per year in the United States. 5k salaries reported, updated at December 1, 2022
Where can a Data Engineer earn more?Compare salaries for Data Engineers in different locations
How much do similar professions get paid in United States?
Common questions about for a Data Engineer
What are the other names for data engineers?
Data engineering is also called data architecture and data infrastructure.
Can data engineers work from home?
Data engineers can usually work from home.
What's the difference between a data scientist and a data engineer?
The difference is basically the area of focus. A data scientist focuses on advanced mathematics and statistical analysis while a data engineer focuses on building infrastructure and architecture for data generation. In other words, the data scientist focuses on answering questions, while the data engineer focuses on providing information.