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Bi developer vs data engineer

The differences between bi developers and data 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 bi developer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $92,647 average annual salary of a bi developer.

The top three skills for a bi developer include power bi, dashboards and ETL. The most important skills for a data engineer are python, java, and cloud.

Bi developer vs data engineer overview

BI DeveloperData Engineer
Yearly salary$92,647$109,675
Hourly rate$44.54$52.73
Growth rate21%21%
Number of jobs80,610303,105
Job satisfaction--
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 65%
Average age3939
Years of experience44

What does a bi developer do?

A BI developer, also known as a business intelligence developer, is primarily responsible for designing and implementing different systems that solve and improve business processes and operations. Their responsibilities revolve around coordinating with department personnel to gather accurate data, performing research and analysis, evaluating and improving existing business systems, and conducting regular inspections, providing corrective measures should there be any issues. Moreover, one must generate reports and maintain accurate data of all processes and transactions, in adherence to the company's policies and regulations.

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.

Bi developer vs data engineer salary

Bi developers and data engineers have different pay scales, as shown below.

BI DeveloperData Engineer
Average salary$92,647$109,675
Salary rangeBetween $71,000 And $119,000Between $80,000 And $149,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyDropboxThe Citadel
Best paying industryHealth CareTechnology

Differences between bi developer and data engineer education

There are a few differences between a bi developer and a data engineer in terms of educational background:

BI DeveloperData Engineer
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 65%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyCalifornia State University - Long Beach

Bi developer vs data engineer demographics

Here are the differences between bi developers' and data engineers' demographics:

BI DeveloperData Engineer
Average age3939
Gender ratioMale, 72.1% Female, 27.9%Male, 81.5% Female, 18.5%
Race ratioBlack or African American, 4.2% Unknown, 4.7% Hispanic or Latino, 7.9% Asian, 34.7% White, 48.2% American Indian and Alaska Native, 0.2%Black 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%
LGBT Percentage8%8%

Differences between bi developer and data engineer duties and responsibilities

Bi developer example responsibilities.

  • Modify several DB2 queries to accomplish the task.
  • Utilize TFS for code check-in and check-out and manage different versions of complicate codes.
  • Manage BO reporting servers for software patches, security upgrades and other maintenance activities.
  • Work with DBA to create jobs, store procedures and triggers in SSMS to automate database updating work.
  • Manage and execute various BO reporting projects within organization.
  • Create sub, drill-down, drill through, parameterize, summary, and matrix reports in SSRS.
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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.
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Bi developer vs data engineer skills

Common bi developer skills
  • Power Bi, 20%
  • Dashboards, 10%
  • ETL, 5%
  • Visualization, 5%
  • SSRS, 5%
  • Data Warehouse, 4%
Common data engineer skills
  • Python, 12%
  • Java, 9%
  • Cloud, 5%
  • ETL, 5%
  • Scala, 4%
  • Kafka, 4%

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