Level up yourData Engineering expertise with these carefully curated courses. Whether you are just starting out or looking to advance your career, these courses will help you build the skills you need to succeed.
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Start matchingData Engineering courses are plentiful and varied. Here are the top 23 Data Engineering courses to consider in 2026.
Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.
Available on udemy.com
Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift
Available on udemy.com
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Available on udacity.com
Organizations have more data at their disposal today than ever before. The vast amount of data that organizations are capturing, along with their desire to extract meaningful insights is driving an urgent demand for Data Engineers.
Data Engineers play a fundamental role in harnessing data that enabl…
Available on edx.org
Data science can be generally defined as the process of making data useful, and data engineering is a key part of how and why. If you think of data science like a race car, the data engineers are the pit crew. They’re not driving the car, but they make the car much easier to drive. Data engineers m…
Available on linkedin.com
Get all the skills and knowledge you need to become a data engineer. You’ll learn how to work with data architecture, data processing, and data systems. By the end, you’ll be able to build a unique data infrastructure, manage data pipelines and data processing, and maintain data systems.
Available on dataquest.io
Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database
Available on edx.org
Data engineers are responsible for the collection, storage and pre-processing of data. They need to ensure that the right data is available to the right individuals in an organization in a format that is easily accessible and usable.
A large part of the role requires working with databases, so stron…
Available on datacamp.com
Simplilearn's Data Engineering post-graduate program, in partnership with Purdue University & IBM, is the ideal program for professional exposure. Aligned with AWS and Azure certifications, this applied learning program will help all master crucial Data Engineering skills.
Available on simplilearn.com
This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone proje…
Available on simplilearn.com
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.
Available on udacity.com
This program is designed to give you the skills you need to start or continue your career in data engineering. High-level learning outcomes for this program include:
Develop and analyze databases using data science and data engineering tools and skills, including SQL and Python
Configure a network to…
Available on provider
Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Analyt…
Available on udemy.com
Data engineering has seen explosive growth recently as more industries depend on data to drive key business decisions. Take advantage of the surge in demand by becoming a data engineer with Dataquest.
Available on dataquest.io
Learn how data can be integrated : following which principles and for what business outcomes
Available on udemy.com
AWS Certified Data Engineer - Associate validates skills and knowledge in core data-related AWS services, ability to implement data pipelines, monitor and troubleshoot issues, and optimize cost and performance in accordance with best practices. If you are interested in using AWS technology to trans…
Available on aws.amazon.com
Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.
Data engineering is building systems to gather data, process and organize raw data into usable information, and ma…
Available on coursera.org
The need for data analysis skills grew by 86% from 2013 to 2018. 1 Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.
Available on provider
Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.
Available on coursera.org
This Advanced Professional Certificate will equip learners with the following competencies:
Learn to be proficient in the use of databases for managing large datasets that organizations will experience in today’s digital age.
Learn the foundations of data engineering ecosystem and lifecycle
Understand…
Available on ace.nus.edu.sg
Learn key Data Engineering Skills such as SQL, Python, Apache Spark (Spark SQL and Pyspark) with Exercises and Projects
Available on udemy.com
Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.
Available on coursera.org
Preparation course for Databricks Data Engineer Associate certification exam with hands-on training
Available on udemy.com
A course can't answer your specific question. A mentor can, and most start with a free intro call.
Looking for a more interactive learning experience? Our expert-led Data Engineering workshops provide hands-on training and real-time feedback to accelerate your learning.
There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!
A Data Engineering course hands you the framework. It can't tell you whether the decision in front of you is the right one, or catch the habit that's quietly holding you back.
A mentor closes that gap. They review your real work, point out what you can't see yourself, and keep you moving when a video would have left you stuck.
Common questions about choosing a course and actually getting results from it.
A course teaches the framework. A mentor makes sure you finish it and use it. Most people stall halfway or forget what they watched within weeks. A Data Engineering mentor keeps you accountable and gives you feedback on your real work, which a video can't do.
An instructor teaches one fixed curriculum to thousands of people. A mentor works one-to-one on your situation, your projects, your goals and your next move, and reacts to the actual work in front of you.
You can get far with good courses and real projects. But most people reach a point where a video can't tell them whether the call they're about to make is right for their team. That's where a Data Engineering mentor saves you months.
One course finished and applied beats five started and abandoned. Pick the one that fits the problem you have right now, work through it, and put each lesson to use the same week. Add another only once you've shipped something with the first.
Mentorship on MentorCruise is a monthly plan you can pause or cancel anytime, and most mentors offer a free intro call first. Browse by rate and find one that fits your budget before you commit to anything.
Usually no deadline, no one to answer to, and no feedback on whether it's working. A mentor gives you all three: a standing check-in, accountability, and a real review of your work. That's why mentored learners finish far more often.
We've already delivered 1-on-1 mentorship to thousands of students, professionals, managers and executives. Even better, they've left an average rating of 4.9 out of 5 for our mentors.
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