Professional Certificate in Data Engineering

Get cutting-edge skills to advance your data engineering career.

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Course Date


March 29, 2023

Course Duration


6 months, online
15-20 hours per week

Course Fee
Course Fee

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Build a Career in Data Engineering With In-Demand Skills

As data grows even more integral to business, it’s easy to see why data engineer was ranked as the fastest growing tech occupation in 2020. The need for data engineers who can build out the infrastructure necessary to put data to work is intensifying, and the MIT xPRO Professional Certificate in Data Engineering can help you meet this demand with job-ready data engineering skills that offer a competitive edge in the marketplace.


The average annual salary of a data engineer in the US in 2022

Source: Indeed


The estimated proportion of digital transformation projects accounted for by cloud-native platforms by 2025, up from 40% in 2021

Source: Gartner

Who Is This Program For?

  • Career Launchers: Recent STEM graduates/post-graduates/interns looking to start a career in this high-growth field by gaining exposure to data engineering
  • Career Builders: Early career software engineers/technology professionals seeking to train in the latest data engineering tools and techniques and advance their careers
  • Career Switchers: Mid-career professionals aiming to switch to data engineering from IT, analytics, finance, project management, supply chain, or another technical field

Applicants must have:

  • A bachelor's degree or higher
  • Strong math skills
  • Some programming experience

Also recommended:

  • An educational background in STEM fields
  • Technical work experience
  • Some experience with Python, R, or SQL
  • Some experience with statistics and calculus

Key Takeaways

This program is designed to give you the skills you need to start or continue your career in data engineering. High-level learning outcomes for this program include:

  • Develop and analyze databases using data science and data engineering tools and skills, including SQL and Python
  • Configure a network to ensure data security
  • Implement artificial intelligence (AI)/machine learning (ML) algorithms, including those for reinforcement learning and deep neural networks
  • Manage big data using data warehousing and workflow management platforms
  • Build a user interface to view and interact with large amounts of live streaming data
  • Create a GitHub portfolio to present the projects that you create to potential employers

Download the brochure for detailed key takeaways.

Program Highlights

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Earn a certificate and 36 Continuing Education Units (CEUs) from MIT xPRO

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Insights and coding demos from renowned MIT faculty

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Learn market-ready data engineering skills in a high-growth market

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Build a GitHub portfolio of your projects to share with potential employers

Receive one-on-one career support from Emeritus and introductions to hiring partners for eligible participants

Program Topics

  • Introduction to Python
  • Python: Introduction to NumPy
  • Python: pandas
  • Databases: SQL
  • Databases: Basic SQL Statements
  • Database Analysis and the Client–Server Interface
  • A Model to Predict Housing Prices
  • ETL, Analysis, and Visualization
  • GitHub and Advanced Python Functions
  • Software Engineering Basics
  • Basics of Client–Server Architecture
  • Types of Databases and Database Containerization
  • CDC
  • Java and Debezium
  • Using Advanced Python Programming to Create Web Applications
  • Transit Data and Application Programming Interfaces (AFIs)
  • Performing ETL Using NiFi
  • Platforms for Handling Big Data
  • Processing Big Data with Spark and Airflow
  • Introduction to ML and Advanced Probability
  • Introduction to Reinforcement Learning and Deep Neural Networks
  • Processing and Streaming Big Data
  • Creating a Data Pipeline
  • Handling Big Data with Mosquitto, ThingsBoard, and Kafka

Career Preparation and Guidance

Stepping into a career in data engineering requires a variety of skills, both hard and soft. This course offers you guidance for navigating a career path into tech, including crafting your materials and acing an interview. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes course leaders to help you reach your learning goals. The primary objective is to give you the skills needed to be prepared for a job in this field. Eligible participants may receive introductions to our hiring partners; however, job placement is not guaranteed.

Elements of the career preparation aspects of this course include:

  • Crafting your elevator pitch
  • Optimizing your LinkedIn profile
  • Writing resumes/cover letters
  • Navigating your job search
  • Learning interview tips and preparation"
  • Negotiating salary

Career exercises focused on launching a career as a data engineer include:

  • Building your personal brand and promoting your skills
  • Communicating technical concepts to non-technical colleagues
  • Understanding the roles and workflow of Agile development
  • Reflecting on your skills to discover how to troubleshoot and learn more quickly
  • Job search and interviewing for data engineering positions

"Data engineering really is a core component of today’s data infrastructure. And because organizations can’t function without data, it’s also a career with a great deal of opportunity and incredibly interesting work as well."

– Abel Sanchez, Research Scientist and Executive Director of MIT’s Geospatial Data Center

Program Faculty

Faculty Member JOHN R. WILLIAMS


Professor of Information Engineering in MIT Department of Civil and Environmental Engineering

John Williams holds a BA in Physics from Oxford University, an MS in Physics from UCLA, and a Ph.D. in Numerical Methods from University of Wales, Swansea. His research focuses on the application of large-scale computation to problems in cyber-physical security and energy studies... More info

Faculty Member ABEL SANCHEZ


Research Scientist and Executive Director of MIT’s Geospatial Data Center

Dr. Abel Sanchez holds a Ph.D. from the Massachusetts Institute of Technology (MIT). He is the Executive Director of MIT’s Geospatial Data Center, architect of “The Internet of Things” global network, and architect of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and Altria... More info

Tools and Resources in the Program

This program employs the latest industry tools and resources, including:

Download the brochure for a full breakdown of the tools utilized in the program.



Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 36 Continuing Education Units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.

Download Brochure

After successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, with the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT.

Financing Options

We offer flexible and transparent payment options through our partners—Climb Credit, Sallie Mae, and Ascent Funding. Schedule a call with a Program Advisor to learn more.


    Immediate repayment, interest-only repayment, and deferred payment options are available.
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    Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more.

    *At the time of loan application, please select 'Student, Career training school' when prompted.


    Immediate repayment, interest-only repayment, and deferred payment options are available. Click here to know more.

  • Flexible Payment Options

    Monthly payments as low as US$1,565. Click here to know more.

You can opt for any one of the financing options to cover up to the full cost of the program tuition. If you are considering financing your program through one of our partners, the enrollment process can only be completed with the assistance of your program advisor or by calling +1 315 386 6844.

Please note that loan applications should be submitted no later than four business days prior to the enrollment deadline due to processing time.

Registration for this program is done through Emeritus. You can contact us at or schedule a call with an advisor.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.