NEW!
Nanodegree Program

Become a Data Engineer

Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.

  • Estimated Time
    5 Months

    At 5 hrs/week

  • Enroll by
    May 28, 2019

    Get access to classroom immediately on enrollment

Built in Collaboration with

What You Will Learn

Download Syllabus
Syllabus

Data Engineering

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.

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.

See details

5 months to complete

All our Nanodegree programs include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

1-on-1 technical mentor

Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track.

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Along with easy monthly payments you can learn at your own pace and reach your personal goals.
Succeed with Personalised Services
We provide services customised for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Individual 1-on-1 Mentorship
Personal Career Coach
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Succeed with Personalised Services
We provide services customised for your needs at every step of your learning journey to ensure your success!
Project Reviewers
1-on-1 Mentors
Career Coaching
Experienced Project Reviewers
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve

Learn with the best

Amanda Moran
Amanda Moran

Developer Advocate at DataStax

Amanda is a developer Advocate for DataStax after spending the last 6 years as a Software Engineer on 4 different distributed databases. Her passion is bridging the gap between customers and engineering. She has degrees from University of Washington and Santa Clara University.

Ben Goldberg
Ben Goldberg

Staff Engineer at SpotHero

In his career as an engineer, Ben Goldberg has worked in fields ranging from Computer Vision to Natural Language Processing. At SpotHero, he founded and built out their Data Engineering team, using Airflow as one of the key technologies.

Sameh El-Ansary
Sameh El-Ansary

CEO at Novelari & Assistant Professor at Nile University

Sameh is the CEO of Novelari, lecturer at Nile University, and the American University in Cairo (AUC) where he lectured on security, distributed systems, software engineering, blockchain and BigData Engineering.

Olli Iivonen
Olli Iivonen

Data Engineer at Wolt

Olli works as a Data Engineer at Wolt. He has several years of experience on building and managing data pipelines on various data warehousing environments and has been a fan and active user of Apache Airflow since its first incarnations.

David Drummond
David Drummond

VP of Engineering at Insight

David is VP of Engineering at Insight where he enjoys breaking down difficult concepts and helping others learn data engineering. David has a PhD in Physics from UC Riverside.

Judit Lantos
Judit Lantos

Data Engineer at Split

Judit was formerly an instructor at Insight Data Science helping software engineers and academic coders transition to DE roles. Currently, she is a Data Engineer at Split where she works on the statistical engine of their full-stack experimentation platform.

Juno Lee
Juno Lee

Curriculum Lead at Udacity

Juno is the curriculum lead for the School of Data Science. She has been sharing her passion for data and teaching, building several courses at Udacity. As a data scientist, she built recommendation engines, computer vision and NLP models, and tools to analyze user behavior.

Get Started Now

Data Engineer Nanodegree Program

$399 USD

per month

Icon - Open Book - Blue
Learn
You'll have access to the Nanodegree program classroom and materials, plus expert project reviews.
Icon - Present - Blue
Comes with

Real world projects reviewed and graded by experienced reviewers

1-on-1 technical mentor

Personal career coach and career services

The Udacity Impact

Numbers don't lie. See what difference it makes in career searches.*

84%
Better Jobs

Career-seeking and job-ready graduates found a new, better job within six months of graduation.

$24,000
Salary Increase

Average salary increase for graduates who found a new, better job within six months of graduation.

Program Details

    PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?

    The data engineering field is expected to continue growing rapidly over the next several years, and there’s huge demand for data engineers across industries.

    Udacity has collaborated with industry professionals to offer a world-class learning experience so you can advance your data engineering career. You will get hands-on experience running data pipelines, building relational and noSQL data models, creating databases on the cloud, and more. Udacity provides high-quality support as you master in-demand skills that will qualify you for high-value jobs in the data engineering field and help you land a job you love.

    By the end of the Nanodegree program, you will have an impressive portfolio of real-world projects and valuable hands-on experience.

  • What jobs will this program prepare me for?

    This program is designed to prepare people to become data engineers. This includes job titles such as analytics engineer, big data engineer, data platform engineer, and others. Data engineering skills are also helpful for adjacent roles, such as data analysts, data scientists, machine learning engineers, or software engineers.

  • How do I know if this program is right for me?

    This Nanodegree program offers an ideal path for experienced programmers to advance their data engineering career. If you enjoy solving important technical challenges and want to learn to work with massive datasets, this is a great way to get hands-on practice with a variety of data engineering principles and techniques.

    The prerequisites for this program include proficiency in Python and SQL. You should be comfortable writing functions and loops, using classes, working with libraries in Python. You should be comfortable querying data using joins, aggregations, and subqueries in SQL.

  • What is the School of Data Science, and how do I know which program is right for me?

    Udacity’s School of Data Science consists of several different Nanodegree programs, each of which offers the opportunity to build data skills, and advance your career. These programs are organized around four main career roles: Business Analyst, Data Analyst, Data Scientist, and Data Engineer.

    The School of Data currently offers two clearly-defined career paths. These paths are differentiated by whether they focus on developing programming skills or not. Whether you are just getting started in data, are looking to augment your existing skill set with in-demand data skills, or intend to pursue advanced studies and career roles, Udacity’s School of Data has the right path for you! Visit “How to Choose the Data Science Program That’s Right for You” to learn more.

    Enrollment and Admission
  • Do I need to apply? What are the admission criteria?

    There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.

  • What are the prerequisites for enrollment?

    The Data Engineer Nanodegree program is designed for students with intermediate Python and SQL skills.

    In order to successfully complete the program, students should be comfortable with the following programing concepts:

    • Strings, numbers, and variables
    • Statements, operators, and expressions
    • Lists, tuples, and dictionaries
    • Conditions, loops
    • Procedures, objects, modules, and libraries
    • Troubleshooting and debugging
    • Research & documentation
    • Problem-solving
    • Algorithms and data structures
    • Joins
    • Aggregations
    • Subqueries
    • Table definition and manipulation (Create, Update, Insert, Alter)
  • If I do not meet the requirements to enroll, what should I do?

    Udacity’s Programming for Data Science Nanodegree program is great preparation for the Data Engineer Nanodegree program. You’ll learn to code with Python and SQL.

    You can also prepare by taking a number of Udacity’s free courses, such as: Introduction to Python Programming SQL for Data Analysis

    Tuition and Term of Program
  • How is this Nanodegree program structured?

    The Data Engineer Nanodegree program is comprised of content and curriculum to support six (6) projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in five (5) months working 10 hours per week.

    Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

  • How long is this Nanodegree program?

    Access to this Nanodegree program runs for the length of time specified in your subscription plan. See the Terms of Use and FAQ for other policies around the terms of access to our Nanodegree programs.

  • Can I get a refund?

    Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.

    SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?

    There are no software and version requirements to complete this Nanodegree program. All coursework and projects can be done via Student Workspaces in the Udacity online classroom.