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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.


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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.

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How much does a Data Engineer make in the United States?

Average base salary

Average $135,207
Low $83,813
High $218,115
Non-cash benefit
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The average salary for a data engineer is $135,207 per year in the United States. 5k salaries reported, updated at December 1, 2022

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Where can a Data Engineer earn more?

Compare salaries for Data Engineers in different locations
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How much do similar professions get paid in United States?

Software Engineer

152,433 job openings

Average $121,766 per year

Business Intelligence Developer

8,386 job openings

Average $90,382 per year

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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.

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Can data engineers work from home?

Data engineers can usually work from home.

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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.

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What's the job forecast for data engineering?

Why is the demand for data engineers increasing?

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