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Professional Certificate in Data Engineering

Bridge the gap between technical skills and real-world data engineering

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Total Work Experience

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DURATION

6 months, online

15-20 hours per week

FOR TEAMS

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Program Overview: Professional Certificate in Data Engineering

The 24-week Professional Certificate in Data Engineering from MIT xPRO is designed for professionals looking to build practical, end-to-end data engineering capabilities and advance their careers in a rapidly evolving field. Whether you have experience in software development, analytics, databases, or other technical domains, this program helps bridge the gap between foundational knowledge and real-world data engineering applications with a structured learning journey.

As organizations increasingly rely on data-driven decision making, the ability to design, build, and manage modern data infrastructure has become a critical skill. Through hands-on projects, industry-relevant tools, and a curriculum covering data pipelines, databases, big data processing, machine learning, and streaming systems, you will develop the practical expertise needed to work with data at scale, build a portfolio of projects, and confidently pursue data engineering opportunities.

$136,188

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

95%

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

Watch the Program Preview

Get a firsthand look at how this program equips you to design and manage data infrastructure at scale.

    Who Is the Professional Certificate in Data Engineering Program For?

    • Career launchers: Recent STEM graduates, post graduates, and interns looking to start a career in this high-growth field by gaining exposure to data engineering

    • Career builders: Early career software engineers and 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

    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 grow your career in data engineering. This program includes high-level learning outcomes, including how to:

    • 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 develop for potential employers

    Download the brochure for detailed key takeaways.

    Program Highlights

    SLP - MIT xPRO - MO-PCDE - Earn a Certificate - Icon

    Earn a certificate and 36 continuing education units (CEUs) from MIT xPRO

    SLP - MIT xPRO - MO-PCDE - Insights - Icon

    Gain insights and coding demos from renowned MIT faculty

    SLP - MIT xPRO - MO-PCDE - Learn market-ready - Icon

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

    SLP - MIT xPRO - MO-PCDE - Build a GitHub - Icon

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

    What Will You Learn in the Professional Certificate in Data Engineering Program?

    Part 1: Data Analysis

    • Module 0: Program Orientation

    • Module 1: Introduction to Python

    • Module 2: Python: Introduction to NumPy

    • Module 3: Python: Pandas

    • Module 4: Databases: SQL

    • Module 5: Databases: Basic SQL Statements

    • Module 6: Database Analysis and the Client–Server Interface

    • Module 7: A Model to Predict Housing Prices

    • Module 8: ETL, Analysis, and Visualization

    Part 2: Data Engineering Basics

    • Module 9: GitHub and Advanced Python Functions

    • Module 10: Software Engineering Basics

    • Module 11: Basics of Client–Server Architecture

    • Module 12: Types of Databases and Database Containerization

    • Module 13: Change Data Capture (CDC)

    • Module 14: Java and Debezium

    • Module 15: Using Advanced Python Programming to Create Web Applications

    • Module 16: Transit Data and APIs

    Part 3: Advanced Data Engineering

    • Module 17: Performing ETL Using NiFi

    • Module 18: Platforms for Handling Big Data

    • Module 19: Processing Big Data with Spark and Airflow

    • Module 20: Introduction to Machine Learning and Advanced Probability

    • Module 21: Introduction to Reinforcement Learning and Deep Neural Networks

    • Module 22: Processing and Streaming Big Data

    • Module 23: Creating a Data Pipeline

    • Module 24: Handling Big Data with Mosquitto, ThingsBoard, and Kafka

    Hear from Past Participants

    “I was hesitant about online learning, especially the support for pre-recorded material. I was pleasantly surprised by the support staff's prompt and accurate responses and their diligent follow-up on my questions. Moreover, despite the breadth of topics covered, the program provided a significant and relevant overview of the data engineering landscape, demonstrating its wide scope and practical applications.”...
    Gerardo Salvador Aguilar Gómez
    Analytics Engineering, Colgate-Palmolive
    “The most enriching aspects were undoubtedly the hands-on projects. I appreciated the opportunity to develop an ETL process from the ground up, build a comprehensive data pipeline with unstructured data using Airflow, and deploy database services using Docker containers. These projects facilitated a practical application of multiple modules simultaneously, enhancing my understanding and skills in a real-world context. Additionally, the instructional videos were exceptionally clear and informative, effectively supporting the learning process.” ...
    Sébastien Albou
    Data advisor, Datafed
    “The video lectures/study/reference materials and hands-on exercises were excellent. They helped me explore some areas on my own.”
    Sébastien Albou
    AVP, Citibank
    “I liked the extensive topics the course syllabus covered, especially more than just six months of Python. I have a lot of non-technical experience managing product information, which helped fill in the gaps in the technical pieces and provided a crash course in computer science.” ...
    William George
    Manager, Master Data, Casper Sleet
    “It has a well-rounded curriculum, covering all aspects of data engineering. It is a very good program for someone entering the field.”
    Aruna Kamini Subbiah
    Data Engineer, Tech Mahindra

    Seamless Learning, Anywhere

    Learn With AI Tutor

    Get instant replies to your questions about program content from our AI Tutor. Find the information you need to learn more confidently and move through topics and key learnings.

    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.

    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

    Hear from the Faculty

    “Data engineering really is a core component of today's data infrastructure. And because organizations cannot function without data, it is also a career with a great deal of opportunity and incredibly interesting work.”
    Abel Sanchez
    Research Scientist and Executive Director of MIT’s Geospatial Data Center

    Meet the Faculty

    SLP - MIT xPRO - MO-PCDE - JOHN R. WILLIAMS

    John R. Williams

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

    John Williams’ research focuses on the application of large-scale computation to problems in cyber-physical security and energy studies. He is the director of MIT’s Geospatial...

    SLP - MIT xPRO - MO-PCDE - ABEL SANCHEZ

    Abel Sanchez

    Executive Director, MIT’s Geospatial Data Center; Research Scientist, Laboratory for Manufacturing and Productivity, MIT

    Dr. Abel Sanchez is the architect of the Internet of Things global network and of data analytics platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil, and...

    Tools and Resources in the Program

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

    • Hadoop

    • Docker

    • Cassandra

    • Google Colab

    • Jupyter Notebook

    • Kafka

    • GitHub

    • MySQL

    • Spark

    • Firebase

    • Swagger

    • MySQL Workbench

    • Visual Studio Code

    • MySQL Python Connector 

    • Driver

    • MySQL Shell

    • Git

    • Postman

    • Strapi

    • Flask Web Server

    • Java

    • Nano Text Editor

    • Debezium

    • Spring Boot

    • Curl

    • Mapbox

    • Maven

    • NiFi

    • Wget

    • PySpark

    • Airflow

    • Mosquitto

    • ThingsBoard

    • Web Sockets

    • Node.js

    • OAuth2

    • Okta

    • MongoDB

    • Redis

    • JSON Web Tokens

    • JavaScript

    • YAML

    Python libraries you will work with include:

    • NumPy

    • Pandas

    • DASK

    • SciPy

    • TensorFlow

    • Matplotlib

    • Seaborn

    • Scikit-learn

    • OpenSSL

    • Gym

    • Arrow

    • Feather

    • Lorem

    • Node-rdkafka

    • Graphviz

    • Data-Driven Documents (D3)

    • NotebookJS

    • NLTK

    • Paho

    • Express

    • Kafka-Python

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

    Example image of certificate that will be awarded upon successful completion of the program

    Certificate

    Get recognized! Upon successful completion of this program, you receive 36 CEUs, a globally recognized measure of professional learning that reflects compliance with international quality standards, and a certificate of completion from MIT xPRO.

    This program is graded as a pass or fail; you must receive 75% to pass and obtain the certificate of completion.

    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.

    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.

    FAQs

    The Professional Certificate in Data Engineering from MIT xPRO is a 24-week online program designed to help participants develop practical data engineering skills through hands-on assignments, coding exercises, and portfolio projects. This data engineering certificate program covers the foundations of modern data infrastructure, including Python, SQL, ETL, databases, big data platforms, machine learning, and streaming data systems.

    The Professional Certificate in Data Engineering from MIT xPRO helps participants build new skills across the data engineering life cycle. Topics include database design and analysis, data pipelines, ETL processes, change data capture (CDC), big data processing, workflow orchestration with Airflow, data streaming with Kafka, machine learning fundamentals, and data visualization. Participants also gain experience using industry-relevant tools, including Spark, Hadoop, Docker, NiFi, PySpark, and GitHub. Beyond learning individual technologies, this data engineering certificate course is designed to help participants connect foundational technical skills into a broader understanding of how modern data systems are designed, built, and managed at scale.

    MIT xPRO’s Professional Certificate in Data Engineering program emphasizes applied learning through graded assignments, coding exercises, and GitHub portfolio projects. Participants of this professional certificate program in data engineering work on projects such as building predictive models, creating ETL pipelines, processing large-scale datasets, developing web applications, streaming data through Kafka, and working with reinforcement learning and deep neural networks. These hands-on activities are designed to help learners move beyond learning individual tools and gain practical experience working across the data engineering life cycle, from data ingestion and processing to analysis and deployment.

    Many professionals enter this MIT xPRO’s Professional Certificate in Data Engineering program with experience in software development, analytics, databases, or related technical fields and are looking to expand their capabilities in data engineering. Through hands-on projects, portfolio development, and career-preparation resources, this data engineering certificate program helps participants build practical expertise that supports career growth and prepares them for data-focused roles. Potential career opportunities include positions such as data engineer, big data engineer, cloud data engineer, data platform engineer, data warehouse engineer, business intelligence engineer, and other roles that involve designing, managing, and scaling modern data infrastructure.

    The Professional Certificate in Data Engineering from MIT xPRO is designed for career launchers, career builders, and career switchers with technical or analytical backgrounds. It may be particularly valuable for software engineers, developers, data analysts, technology professionals, and STEM graduates who want to strengthen their data engineering knowledge, build practical experience, and advance their careers in this field.

    Upon successful completion of the Professional Certificate in Data Engineering, you will receive a certificate of completion from MIT xPRO and 36 CEUs. This online program is graded on a pass/fail basis, and you must meet the completion requirements to earn the certificate.

    Throughout the Professional Certificate in Data Engineering from MIT xPRO, you will complete hands-on assignments, coding exercises, and portfolio projects that can be showcased on GitHub. These projects span topics such as predictive modeling, ETL pipelines, big data processing, web application development, and streaming data systems. You will also receive feedback on your project work, helping you build a portfolio that demonstrates your practical data engineering capabilities to current and prospective employers.

    How do I know whether this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow up with you very shortly.

    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page and in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.

    What are the requirements to earn a certificate?

    This is a graded program. You must complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points, and a cumulative score of 75 percent is required to pass and obtain your professional certificate.

    Will I be guaranteed a job upon completion of the program?

    The primary objective of this program is to give you the skills you need to be prepared for a job in this field. While eligible participants will receive career coaching and support and may receive introductions to our hiring partners, job placement is not guaranteed.

    How much time will I be expected to devote to this program?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the “Duration” section and in the program brochure, which you can obtain by submitting the short form at the top of this web page.

    How will I spend my time in this program?

    You will divide your learning time between viewing recorded coding demos, and video lectures, contributing to class discussions, completing assignments, projects, and knowledge checks, and attending optional live sessions with industry experts and program leaders.

    How is the program administered? Can the program be accessed any time?

    The program is accessed through the custom learning portal. This portal will give you access to all program-related content such as video lectures, assignments, and discussions. Live office hours will be conducted using a webinar tool.

    The video lectures and assignments are accessible weekly throughout the program. In the event you miss a live session, a recording will be made available.

    Do I need to attend live sessions every week?

    Faculty video lectures are recorded, allowing you to watch these on your own schedule. However, participation in optional live sessions and discussion boards is highly encouraged. Live sessions will give you the opportunity to draw on the coding experience of our industry-experienced program leaders to answer your questions and help reach your learning goals. The discussion boards are also an integral part of the learning experience, giving you and your peers the opportunity to learn together and receive guidance from the moderators.

    Can I download the program videos?

    You can download video transcripts, assignment templates, readings, etc. However, the video lectures are only available for streaming and require an internet connection.

    How do I interact with other program participants?

    You can communicate with other participants through our learning platform. You will be able to form groups based on your interests and location. A direct messaging feature is also available through the platform.

    What is it like to learn online with the learning collaborator, Emeritus?

    More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

    What is the relationship between Emeritus and MIT xPRO?

    Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.

    What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what is required before you enroll. This is referenced at the top of the program landing page under the “Duration” section and in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life. This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification of any specific program requirements.

    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, résumé, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.

    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.

    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.

    How long will I have access to the learning materials?

    You will have access to the learning platform and all program materials (videos excluded) for 24 months following the program end date. Access to the learning platform is restricted to registered participants per the terms of agreement.

    What equipment is needed or the technical requirements for this program?

    To successfully complete this course/program(me) online, you must have access to a device meeting the minimum requirements, found here. In addition, Microsoft Office or similar product and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts in all programs. Technical programs might have additional tech requirements. Please check the learning platform on the first day of class.

    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet and video content is not available for download. You can download files of video transcripts, assignment templates, readings, etc. Video lectures must be streamed via the internet and webinars and small group sessions will require an internet connection.

    What is the program fee for the program, and what forms of payment do you accept?

    The program fee is shown at the top of this page and payment must be made in US dollars only. Flexible payment optionsgroup enrollment benefits, and referral bonus are available. Tuition assistance may be available for participants who qualify. Please contact your program advisor to discuss.

    What if I don’t have a credit card? Is there another mode of payment accepted?

    Yes, you can do the bank remittance in USD via wire transfer. Please contact your program advisor for more details.

    Is there an option to make flexible payments for this program?

    Yes flexible payment options are available for this program. We partner with loan providers to offer you flexible and transparent loan options. More information about loan financing is available here. Installment payments are also available—; you can find the options here.

    Does the program fee include taxes? Are there any additional fees?

    Yes, the program fee is inclusive of any taxes with the exception of GST for Singapore residents.

    Who will be collecting the payment for the program?

    Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

    Are there any restrictions on the types of funding that can be used to pay for the program?

    Program fees for Emeritus programs with MIT xPRO may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

    What is the program refund and deferral policy?

    For the program refund and deferral policy, please click the link here.

    Financing Options

    We offer several options to help you afford tuition for the Professional Certificate in Data Engineering Program.

    Referrals – You and a colleague can each receive $780 off your tuition when you enroll together. Refer now Group enrollments – A discount of up to 20% is available for group enrollments. For more information, email group-enrollments@emeritus.org

    US Residents

    SALLIE MAE*

    *At the time of loan application, please select ‘Undergraduate students’ when prompted.

    CLIMB CREDIT

    Flexible Payment Options

    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.

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

    What is Sallie Mae?

    Sallie Mae is one of the largest private student loan lenders in the industry.

    What is the process to apply for a loan?

    Once you’ve applied for your program, you can then apply for a loan with Sallie Mae. When approved, you’ll choose your interest rate and your repayment option and sign the loan documents. The lender will send the tuition directly to your school.

    How long will it take until I get a decision?

    You can receive a credit result is as few as 15 minutes.

    Do I need a cosigner?

    If you don’t have a credit history, you will need a cosigner for your loan. A cosigner can be a parent, relative, or any other creditworthy individual. Their good credit history may help you get a loan.

    When does loan payback begin?

    You can make your first payment about one month after your program starts (fixed repayment or interest repayment) or six months after your program ends (deferred repayment).

    How long will I be making payments?

    Most loans have a 10-year standard repayment. When you apply for the loan, you will be given more information on the repayment plan.

    How do I find out how much my monthly payment is?

    You can find your monthly payment on the Monthly Payment Calculator here.

    Are there any circumstances that would allow me to put my loan payments on hold?

    Delinquency occurs when you fail to pay all or part of your monthly student loan payment. You could be eligible for a student loan deferment, which would allow you to temporarily reduce or postpone payments on your student loans in special circumstances.

    Can I pay off my loan early?

    There is no penalty for paying your loan off early or paying extra throughout the life of your loan. You have the flexibility to make early payments of fully pay off your loan without prepayment fees.

    What is Climb Credit?

    Climb Credit is a new kind of student lender.

    Climb believes education is an investment and should be treated that way — we partner with schools offering career-focused education, and then provide accessible and affordable loans to attend these schools.

    What is the process to apply for a loan?

    Simply type your school's name into the search bar after clicking "Apply now" to find a link to the application page. From there, you'll be able to complete our short online application.

    You may also have received a link to apply for a Climb loan from your school’s admissions team, or you can find the link on your school’s website or Climb's website. Apply using your laptop, tablet, or phone.

    You'll want to make sure you fill out an application for the specific school and program you'll be attending. We link our loans to each course, so your school will know you've been approved for a loan with us and that we'll be sending your tuition to them.

    How long will it take until I get a decision?

    On average, 4:01 minutes — and just applying will not impact your credit score. We know that your time is valuable, so we’ve kept our application as short as possible.

    Do I need a cosigner?

    No. Climb only fund loans for students who are attending the program. The program attendee should always be the primary borrower on the application.

    During your application, you will have the option to add a co-borrower. If you have a co-borrower with a better credit score that you, adding them to your loan application can potentially help you get approved and/or receive a lower interest rate offer.

    If my application is accepted, am I committed to using the financing?

    No. Applying for Climb financing is free and comes and carries no commitment until you accept and finalize the loan. The initial application will not affect your credit score, and you are free to decline your loan offer if you change your mind about financing.

    What are the terms of the loan?

    To view the equation used to calculate your interest and monthly payments, check out this article HERE!

    When does loan payback begin?

    Depending on your program, we may offer loans with either an initial interest-only period while in class and for a few months after, a full deferral period while in class and for a few months after, or immediate full repayment.

    For loans with an interest-only period or immediate full repayment, your first payment is due one month after your loan is funded.

    How long will I be making payments?

    Climb's standard loan tenor is 36 months, but you can pay any time before that, as there is no pre-payment penalty. You can repay your 3-year loan in 3 years or in 1 day.

    Climb's goal is to make sure that your monthly payments stay low and affordable, which is why we give you the option to choose your term length when you apply.

    Master’s students can choose between a 2-year or a 3-year repayment term.

    Doctoral students can choose between a 4-year or a 5-year repayment term.

    How do I find out how much my monthly payment is?

    This amount is mentioned in your loan agreement.

    Are there any circumstances that would allow me to put my loan payments on hold?

    In order not to fall behind on your Climb loan payments, you can request a deferral of payments on your loan. A deferment will allow you to temporarily reduce your monthly loan payment amount.

    Can I pay off my loan early?

    Absolutely! You can pre-pay your loan, in whole or in part, at any time with no penalties.

    Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 640 4846 (US) /  +44 141 673 6416  (UK) / +65 3138 2327  (SG)

    Flexible payment options available.

    Starts On