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.
  • Build a foundation in Python programming
  • Learn SQL query fundamentals
  • Study statistics and probabilities
  • Discover pandas to work with large datasets
  • Load and pipe data through Postgres databases
  • Construct a portfolio to help you land a job

Unsure if the data engineer path is the right one for you? Take our career path quiz here.

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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.

  • Python programming
  • Algorithms and Data Structures
  • Building Data Pipelines
  • Postgres for Data Engineering
  • Data structure fundamentals
  • SQL Queries for Data Analysis
  • Optimizing for Large Data Sets using pandas
  • Recursion and Trees
  • NumPy for Data Processing

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:

  • Our data engineer career path consists of a series of courses that range from Python Fundamentals to Building a Data Pipeline.
  • You’ll write real code, and answer practical problems that’ll help you retain what you learned and apply your new skills.
  • At the end of each course, you’ll complete a guided project to further apply what you’ve learned while building a career-ready portfolio employers will love.
  • Upon completion of each course, you’ll receive a certificate that’s shareable with your professional network, and you can use it to enhance your resume.
  • Once you complete this path, you’ll have all the in-demand skills necessary to become a data engineer.
  • At any time, you may redo practice problems, lessons, and courses if you want to review things before a big interview or to stay sharp

Enroll in this career path, get ahead of the game, and become a data engineer today!

Data Engineer Career Path Course List

Python Fundamentals

Learn about the fundamentals of Python programming in the context of data engineering.

Python Intermediate

Learn important tools for your Python data toolbox.

Programming Concepts with Python

Enhance your understanding of how Python works.

Algorithm Complexity

Learn how to assess and implement efficient algorithms with Python.

SQL Fundamentals

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.

Parallel Processing

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.

Achieve your data career goals with confidence.

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