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 5-10 hrs/week

  • Enroll by
     

    Get access to classroom immediately on enrollment

  • Prerequisites
    Intermediate Python & SQL

    See prerequisites in detail

Built in Collaboration with

  • Insight

What You Will Learn

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.

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5 months to complete

Prerequisite Knowledge

To be successful in this program, you should have intermediate Python and SQL skills.See detailed requirements.

  • Data Modeling

    Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

    Data Modeling with Postgres
    Data Modeling with Apache Cassandra
  • Cloud Data Warehouses

    Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).

    Build a Cloud Data Warehouse
  • Spark and Data Lakes

    Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.

    Build a Data Lake
  • Data Pipelines with Airflow

    Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.

    Data Pipelines with Airflow
  • Capstone Project

    Combine what you've learned throughout the program to build your own data engineering portfolio project.

    Data Engineering Capstone
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The average base pay for a Data Engineer in the U.S. is $115k!

All Our Programs Include

Real-world projects from industry experts

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.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services

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

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program OfferingsFull list of offerings included:
Enrollment includes:
Class Content
Content Co-created with Insight
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Real-world projects
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Project reviews
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Project feedback from experienced reviewers
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Student Services
Technical mentor support
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Student community
Improved
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Career services
Personal career coaching
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Interview preparations
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Resume services
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Github review
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LinkedIn profile review
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Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Project Reviewers
Technical Mentor Support
Technical Mentor Support
Personal Career Coach
Career Coaching
Get personalized feedback on your projects
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

Instructor

As a data scientist, Juno built a recommendation engine to personalize online shopping experiences, computer vision and natural language processing models to analyze product data, and tools to generate insight into user behavior.

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Data Engineer Nanodegree Program

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You'll have access to the Nanodegree program classroom and materials, plus expert project reviews.
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Average Time
On average, successful students take null months to complete this program.
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Benefits include
  • Real-world projects from industry experts
  • Technical mentor support
  • Personal career coach & career services
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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.
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 with Python Nanodegree program is great preparation for the Data Engineer Nanodegree program. You’ll learn to code with Python and SQL.
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. 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 the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
  • Can I switch my start date? Can I get a refund?
    Please see the Udacity Program Terms of Use and FAQs 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.

Data Engineer

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