4 Data Engineer Certifications: Which One Is Right For You? (2024)

Data is one of the world’s most valuable resources. According to the World Economic Forum, the world’s data was worth around $3 trillion in 2017, a number that has surely grown in the time since [1].

Data engineers are responsible for designing and building the systems for collecting, storing, and analyzing big data that is applicable to nearly every industry. Many of those hoping to break into or enhance their data engineering career often wonder whether they need a certification—and if so, which one suits their career objectives.

In this article, we’ll guide you through whether you need a data engineer certification or not and answer the question, “Which data engineer certification is right for me?”

Do you need a data engineer certification?

Data engineer certifications can be useful credentials at any stage of your career. If you are an early-career professional, you can learn data engineering skills and tools like Google Cloud or Azure in a standardized, comprehensive, and chronological manner. If you are an established data engineer, you can fill in the gaps in your skills, knowledge base or stay up-to-date on the latest tools and technologies.

Here are some benefits to adding a certification to your resume or displaying the credential on your LinkedIn profile:

• Validate your data engineering skills

• Demonstrate your dedication to growth in your field

• Verify that your knowledge is current and relevant

• Highlight your qualifications and expertise

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Is a certification worth it?

Certifications and professional certificates can help aspiring data engineers enter the field or boost their prospects.

For example, the Google Cloud Data Engineer Professional Certificate was ranked #2 on Skillsoft’s list of 20 top-paying IT certifications for 2024 [2]. This certificate program is one that is linked to a certification exam. Further, research conducted by the US Bureau of Labor Statistics in 2020 found that professionals with either a certification or license earned more on average than those without either and experienced lower levels of unemployment [3].

Still, a certification can be an investment of time and money, so it’s important to make a choice that suits your current career goals.

4 popular data engineer certifications

There are plenty of certification and certificate programs available for aspiring and established data engineers. Here are some data engineering certificate programs offered by industry leaders IBM, Google, and Meta.

1. IBM Data Engineering Professional Certificate

IBM’s Data Engineering Professional Certificate is a flexible online certificate program that provides learners with job-ready skills, tools, and a portfolio in 15 months or less (based on 4 hours per week). The course is designed to prime you for an entry-level data engineer position. You’ll learn how to use Python to extract, transform, and load (ETL) data, work with relational databases, query data using SQL, and work with big data engines Hadoop and Spark.

Requirements: This program does not require any prior data engineering or programming experience, or any specific educational background.

2. Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Google’s Cloud Data Engineer Professional Certificate is a flexible online certificate program that provides you with a strong foundation in key big data and machine learning products in Google Cloud in five months or less. It incorporates hands-on labs using Qwiklabs. Designed for professionals with a base level understanding of data engineering concepts, this certificate program is meant to prepare you for the Google Cloud Certification. Keep in mind that not all companies use Google Cloud, so this is not a certification exam that qualifies you as a data engineer, but rather for data engineering on Google Cloud only.

This is a popular option for a professional certificate in data engineering. According to one survey, 81 percent of certificate graduates felt they could prove cloud skill competency to recruiters and 85 percent felt more confident in cloud skills [4].

Requirements: This professional certificate is intended for intermediate level data engineers, so you should have basic proficiency with SQL and experience developing applications using common programming languages.

Cost: The registration fee for the Google Cloud Professional Data Engineer Certification is $200.

3. IBM Data Warehouse Engineer Professional Certificate

IBM’s Data Warehouse Engineering Professional Certificate is a flexible online certificate program that provides learners with job-ready skills, tools, and a portfolio in eight months or less. Designed for data warehouse engineer beginners, you’ll acquire the essential skills needed to work with a range of tools and databases to design, deploy, and manage enterprise data warehouses, such as building data pipelines with Apache Airflow and Kafka to ETL data.

Requirements: This program does not require any prior data engineering or programming experience, or any specific educational background.

4. Meta Database Engineer Professional Certificate

Meta’s Database Engineer Professional Certificate is a flexible online certificate program that prepares learners for entry-level database engineering roles in six months or less. Designed for beginners, you’ll learn the key skills required to create, manage, and manipulate databases, along with programming languages and software such as SQL, Python, and Django.

Requirements: This program does not require any prior data engineering or programming experience, or any specific educational background.

Enhance your data engineer career today

Data engineering is a popular, in-demand career field that can be exciting and fulfilling. If you enjoy building and tinkering with data systems to support business goals, you might be interested in one of the four Coursera professional certificates above.