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Become a Data Engineer

Nanodegree Program

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.

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04Days06Hrs56Min33Sec

  • Estimated time
    5 Months

    At 5-10 hrs/week

  • Enroll by
    September 28, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Intermediate Python & SQL
Built in partnership with
  • Insight

What you will learn

  1. Data Engineering

    5 months to complete

    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.

    Prerequisite knowledge

    1. 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.

    2. 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).

    3. 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.

    4. 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.

    5. Capstone Project

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

All our 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.

  • Technical mentor support

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

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Class content

    • Content Co-created with Insight
    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers
  • Student services

    • Technical mentor support
    • Student community
  • Career services

    • Github review
    • Linkedin profile optimization

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Mentors available to answer your questions.

  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors
  • 1,400+

    technical mentors

  • 0.85 hours

    median response time

Learn with the best.

Learn with the best.

  • 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

    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

    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

    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

    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

    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

    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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    Best Value
  • Learn

    You'll have access to the Nanodegree program classroom and materials, plus expert project reviews.
  • Average Time

    On average, successful students take 5 months to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

Program details

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Data Engineer

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