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Etl developer vs data engineer

The differences between etl 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 an etl developer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $92,419 average annual salary of an etl developer.

The top three skills for an etl developer include sql server, data warehouse and unix. The most important skills for a data engineer are python, java, and cloud.

Etl developer vs data engineer overview

ETL DeveloperData Engineer
Yearly salary$92,419$109,675
Hourly rate$44.43$52.73
Growth rate21%21%
Number of jobs88,652303,105
Job satisfaction--
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Average age3939
Years of experience44

What does an etl developer do?

An ETL developer is responsible for managing data storage systems to secure the organization's data and files for daily operations efficiency. ETL developers perform multiple system testing to ensure the system's accuracy, perform coding adjustments, and troubleshoot for any defects and inconsistencies. They work closely with other development teams to design storage functions to optimize solutions. An ETL developer must have extensive knowledge of the technology industry and a strong command of programming languages to develop an accurate and operational database.

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.

Etl developer vs data engineer salary

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

ETL DeveloperData Engineer
Average salary$92,419$109,675
Salary rangeBetween $72,000 And $118,000Between $80,000 And $149,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyMetaThe Citadel
Best paying industryHealth CareTechnology

Differences between etl developer and data engineer education

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

ETL DeveloperData Engineer
Most common degreeBachelor's Degree, 76%Bachelor's Degree, 65%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyCalifornia State University - Long Beach

Etl developer vs data engineer demographics

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

ETL DeveloperData Engineer
Average age3939
Gender ratioMale, 68.0% Female, 32.0%Male, 81.5% Female, 18.5%
Race ratioBlack or African American, 4.3% Unknown, 4.7% Hispanic or Latino, 8.0% Asian, 35.2% White, 47.7% 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 etl developer and data engineer duties and responsibilities

Etl developer example responsibilities.

  • Support and maintain production Cognos web portal to manage the OLAP cube and folders.
  • Implement Perl scripts to load the financial information and to automate frequent reports for the users.
  • Coordinate with DBA in creating and managing table, indexes, table spaces, triggers, dB links and privileges.
  • Migrate the jobs from DataStage 8.1 to 8.7 and the environment from AIX to LINUX.
  • Export data from HDFS environment into RDBMS using Sqoop for report generation and visualization purpose.
  • Develop PL/SQL package for conversion of legacy notes associate with a service request using service request API.
  • Show more

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

Etl developer vs data engineer skills

Common etl developer skills
  • SQL Server, 7%
  • Data Warehouse, 6%
  • Unix, 5%
  • Data Analysis, 4%
  • BI, 4%
  • Data Quality, 4%
Common data engineer skills
  • Python, 12%
  • Java, 9%
  • Cloud, 5%
  • ETL, 5%
  • Scala, 4%
  • Kafka, 4%

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