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.

Was this information useful?

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.

Was this information useful?

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

3.1k salaries reported, updated at November 25, 2021
$117,012
per year

The average salary for a data engineer is $117,012 per year in the United States and $5,000 cash bonus per year.

Cash bonus
$5,000
per year

Most common benefits

  • Commuter assistance
  • Unlimited paid time off
  • Stock options
  • Health savings account
  • Food provided
Was the salaries overview information useful?

Where can a Data Engineer earn more?

Compare salaries for Data Engineers in different locations
vs

Frequently asked questions

Common questions about being a Data Engineer

What are the other names for data engineers?

Data engineering is also called data architecture and data infrastructure.

Was this answer helpful?

Can data engineers work from home?

Data engineers can usually work from home.

Was this answer helpful?

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.

Was this answer helpful?

What's the job forecast for data engineering?

Why is the demand for data engineers increasing?