Data Engineering Career Path
Data engineering has seen explosive growth recently as more industries depend on data to drive key business decisions. Join hundreds of thousands of Dataquest students, and take advantage of the surge in demand by becoming a data engineer.
We designed this career path for beginners with little to no experience who want to become qualified, job-ready data engineers. However, it’s also an excellent option for those already in the data field looking to sharpen their skills and take their career to the next level.Write real code, and build a career-ready portfolio that employers are looking for — all at your own pace.
Unsure if the data engineer path is the right one for you? Take our career path quiz here.
What You’ll Learn
Wandering through data engineering topics without guidance can be frustrating, confusing, and unmotivating. Dataquest is here to help! With our data engineering path, we guide you through each technical skill required to become a remarkable data engineer.
This career path will teach you all the data skills recruiters look for, plus extras to make you stand out among the sea of tough competition.
How Our Data Engineer Career Path Works
Perfect your technical data engineering skills, such as Python, data pipelines, and data processing. As you progress through the course, you’ll learn how to implement algorithms and how to work with multi-table databases using SQL. And finally, as you complete the practical coding exercises, you’ll learn key platforms like pandas, NumPy, SQLite, MapReduce, and Postgres.
Once you complete our comprehensive program, you’ll have the skills necessary to thrive as a data engineer, and you’ll have a job-ready portfolio to showcase during the interview process.
At Dataquest, we know that navigating a new career path is intimidating, so we’re here to help. We don’t believe in long, uninspiring videos or lectures; instead, we use hands-on and interactive teaching, so you’ll never be bored again. Not only will you learn job-ready skills, you’ll also have the opportunity to put them into practice.
Should you get stuck, or have any questions, we’re here to provide the support you need. Here’s a snapshot of our data engineering career path curriculum:
Enroll in this career path, get ahead of the game, and become a data engineer today!
Data Engineer Career Path Course List
Learn about the fundamentals of Python programming in the context of data engineering.
Learn important tools for your Python data toolbox.
Programming Concepts with Python
Enhance your understanding of how Python works.
Learn how to assess and implement efficient algorithms with Python.
Learn the basics of working with SQL databases.
Intermediate SQL for Data Analysis
Learn to work with multi-table databases.
Postgres for Data Engineers
Learn about the SQL database Postgres.
Optimizing Postgres Databases
Learn how to optimize your Postgres databases.
NumPy for Data Engineers
Learn how NumPy can be used to optimize your data processing.
Processing Large Datasets in Pandas
Learn how to work with datasets by optimizing your pandas workflow, processing data in batches, and augmenting pandas with SQLite.
Learn parallel processing and MapReduce.
Data Structures Fundamentals
Learn the fundamentals of data structures — Linked Lists, Queues, Stacks and Dictionaries, etc.
Recursion and Trees
Learn about recursion and how it applies to tree data structures, and how tree data structures are used to speed up processing of data analysis tasks.
Building a Data Pipeline
Learn how to build a Python data pipeline from scratch.
How Our Data Engineer Career Path Works
Our data engineer career path starts with the fundamentals. There is absolutely no experience necessary to start, and everyone is welcome.
This career path is for individuals ready for an amazing career change, data professionals looking to amplify their skill set for that next promotion, and college students who are interested in becoming job-ready.