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Data engineer vs staff software engineer

The differences between data engineers and staff software engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a data engineer and a staff software engineer. Additionally, a staff software engineer has an average salary of $136,653, which is higher than the $109,675 average annual salary of a data engineer.

The top three skills for a data engineer include python, java and cloud. The most important skills for a staff software engineer are java, python, and software development.

Data engineer vs staff software engineer overview

Data EngineerStaff Software Engineer
Yearly salary$109,675$136,653
Hourly rate$52.73$65.70
Growth rate21%21%
Number of jobs303,105371,213
Job satisfaction--
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 67%
Average age3939
Years of experience44

What does a data engineer do?

A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.

What does a staff software engineer do?

A Staff Software Engineer is responsible for developing, maintaining, and repairing company software for maximum efficiency and usability. They instruct and mentor their team members in software development techniques and cloud development.

Data engineer vs staff software engineer salary

Data engineers and staff software engineers have different pay scales, as shown below.

Data EngineerStaff Software Engineer
Average salary$109,675$136,653
Salary rangeBetween $80,000 And $149,000Between $100,000 And $186,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaAlaska
Best paying companyThe CitadelAirbnb
Best paying industryTechnologyRetail

Differences between data engineer and staff software engineer education

There are a few differences between a data engineer and a staff software engineer in terms of educational background:

Data EngineerStaff Software Engineer
Most common degreeBachelor's Degree, 65%Bachelor's Degree, 67%
Most common majorComputer ScienceComputer Science
Most common collegeCalifornia State University - Long BeachHarvard University

Data engineer vs staff software engineer demographics

Here are the differences between data engineers' and staff software engineers' demographics:

Data EngineerStaff Software Engineer
Average age3939
Gender ratioMale, 81.5% Female, 18.5%Male, 83.0% Female, 17.0%
Race ratioBlack or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2%Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 33.5% White, 48.5% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between data engineer and staff software engineer duties and responsibilities

Data engineer example responsibilities.

  • Used SQOOP to import the data from RDBMS to HDFS to achieve the reliability of data.
  • Develop automation scripts in python to automate the test, analyze, plot and report the results.
  • Used Linux shell scripts to automate the build process, and to perform regular jobs like file transfers between different hosts.
  • Increase audit efficiency by developing SAS programs to automate manual testing procedures.
  • Used Teradata database management system to manage the warehousing operations and parallel processing.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Show more

Staff software engineer example responsibilities.

  • Manage source code and integration for team with git, svn and Jenkins.
  • Utilize JavaScript, AJAX and HTML markup to create, edit and manage filters.
  • Lead the functional verification test team for the security component of IBM z/OS WebSphere.
  • Lead the development of QDSS windows driver and tool chain to use QDSS features for windows platform.
  • Lead a 5-person development team for the BCRS customer recovery solution system in Maximo 7.1 and J2EE.
  • Work with QA for different eBay modules to review and automate tests for testing new functionality on site.
  • Show more

Data engineer vs staff software engineer skills

Common data engineer skills
  • Python, 12%
  • Java, 9%
  • Cloud, 5%
  • ETL, 5%
  • Scala, 4%
  • Kafka, 4%
Common staff software engineer skills
  • Java, 18%
  • Python, 8%
  • Software Development, 7%
  • Architecture, 6%
  • Object Oriented Programming, 3%
  • Linux, 3%

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