Continuing Education

Data Engineering


The location where your NAIT courses will be held.


The type of certification you will earn after completing your program.

  • Certificate Achievement - An approved non-credit program that has a formal summative assessment component, has mappped program or course outcomes, and is subject to a regular quality curriculum review process.
  • Certificate Completion - A non-credit program that has no formal summative assessment component and is subject to a regular quality curriculum review process.
  • Continuing Education/Non-Credit - NAIT offers a wide range of non-credit programs and courses for personal and professional development in a number of interesting and exciting fields. These options are great for people who may be working but are interested in studying as well.

Delivery Options

The flexible schedule options for this course including time of day and full/part-time.

  • On-Campus Day - Your course activity is done in-person Monday - Friday, before 5 PM.
  • On-Campus Evening/Weekend - Your course activity is done in-person on weekdays from 5 PM or later, or Saturdays and Sundays.
  • Online Day - Your course activity is done online Monday - Friday, before 5 PM.
  • Online Evening/Weekend - Your course activity is done online on weekdays from 5 PM or later, or Saturdays and Sundays.
  • Online Flexible Delivery - Your course activity is not scheduled and therefore you can determine when to do the coursework.
  • Both On-Campus and Virtual - Some of your coursework will be in-person, on campus and some will be done online.

Are you passionate about building solutions to solve problems using data? NAIT's Data Engineering certificate will provide you with the skills to design data products that make a positive impact and drive change. This certificate is a technical stream that contains six courses designed for data professionals that want to further their career in a fascinating discipline. As a Data engineer, transform the way organizations think, view, and create business value from data by:

• Applying the fundamentals of big data architecture

• Transferring enterprise data to cloud hosted environments

• Mastering computer programming skills that are essential to create data engineering products

• Refining data that can be used to provide decision makers with actionable information

• Preparing data for presentation of business and analytical insights

The Data Engineering Certificate concludes with a project where you will build a minimum viable data engineering product (MVP) that you can use in your resume or on your portfolio.

About Databricks

Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. 

databricks logo

Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 

Source: Databricks

Skills you will learn in this certificate

  • Databricks Community Edition. An open and unified data analytics platform for data engineering, data science, machine learning, and analytics.
  • Databricks Community Edition Notebooks. These interactive notebooks can be used with Apache SparkTM, SQL, Python, Scala, and Delta Lake.
  • Introduction to programming in Python, PySpark, and Scala.
  • Databricks SQL. It provides database SQL-functionality to design and operate a multi-cloud lakehouse architecture.  


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