Data Engineer Career Track

Ready to become a data engineer? Follow our structured Data Engineer Career Track to master the essential skills to build and maintain data pipelines—from foundational programming to advanced data architecture.

10 Career Track Courses
28 Hours of Video
Certificate of Achievement
Start Your Career
Data Engineer

Data Engineer Career Track Courses

Wondering how to become a data engineer? Our structured data engineer roadmap helps you gain the skills needed for a successful career.

Its curated curriculum offers a structured, step-by-step learning path through essential courses—from SQL and Python programming to advanced data pipeline development.

Our data engineer training program combines theoretical foundations with hands-on practice, preparing you for real-world data challenges. Master data management, pipeline development, and cloud computing while building practical projects.

The Data Engineer Career Track culminates in a professional certificate that validates your expertise and establishes you as a certified data engineer in the field.

Learn data engineering from industry experts and get certified through our comprehensive data engineering curriculum:

Intro to Data Engineering
Optional

Intro to Data Engineering

with Shashank Kalanithi
4.8/5
(241)

Get an introduction to the data engineering field and the career opportunities it offers. Enhance your resume with essential data engineering skills

4 hours of content
1
SQL
Required

SQL

with Martin Ganchev and Vladimir Saev
4.8/5
(4,661)

Become proficient in SQL and manage relational databases with confidence

11 hours of content
2
Introduction to Python
Required

Introduction to Python

with Martin Ganchev
4.8/5
(4,745)

Learn to code in Python: the most popular and widely used programming language

2 hours of content
3
Data Ingestion with Pandas
Required

Data Ingestion with Pandas

with Samson Afolabi
4.6/5
(7)

Start Your Data Journey and learn everything about ingesting data from various data storage formats like Flat Files, Excel Files, API's, JSON's and Relational Databases.

1 hour of content
4
Understanding Cloud Computing
Required

Understanding Cloud Computing

with Andrew Jones
4.3/5
(7)

Broadly explore cloud computing concepts to give a fundamental comprehension of the industry, it's defining aspects, and the many professional roles within it.

1 hour of content
5
Introduction to Data Architecture
Required

Introduction to Data Architecture

with Rahul Singh
4.3/5
(17)

Want to excel in data architecture? Our data architecture course equips you with the fundamentals, best practices, and hands-on skills to design scalable, modern data systems.

1 hour of content
6
Advanced SQL for Data Engineering
Required

Advanced SQL for Data Engineering

with Shashank Kalanithi
4.8/5
(409)

Master advanced SQL for data engineering skills by taking a masterclass from an industry expert

2 hours of content
7
Building Data Pipelines with Apache Airflow
Required

Building Data Pipelines with Apache Airflow

with Shashank Kalanithi
4.5/5
(19)

Design, Build, and Optimize Scalable Cloud Data Pipelines with AWS, Azure, and GCP

2 hours of content
8
Git and GitHub
Elective

Git and GitHub

with Giles McMullen-Klein
4.7/5
(2,142)

Acquire essential version-control skills that will boost your resume and help you thrive in a real-life working environment

1 hour of content
9
Introduction to Data Warehousing
Elective

Introduction to Data Warehousing

with Rahul Singh
4.9/5
(9)

Unlock the power of data with our comprehensive Data Warehousing course. Learn to design, build, and optimize enterprise-grade data warehouses using real-world case studies, advanced ETL/ELT techniques, real-time analytics, and automation.

3 hours of content
10

FAQs

Need help finding what you're looking for? Visit the 365 Data Science Help Center page or contact us directly.

What’s required to begin a career as a data engineer?

To begin your data engineer career path, you'll need:

  • Basic programming knowledge
  • Understanding of databases and SQL
  • A willingness to learn data tools and frameworks
  • Commitment to completing hands-on projects

Our Data Engineer Career Track provides all the necessary training and resources to help you start your journey.

How can I start a career as a data engineer?

Start your data engineering career by:

  • Enrolling in our Data Engineer Career Track
  • Following our structured learning path
  • Building practical skills through hands-on projects
  • Earning your data engineer certificate
  • Creating a portfolio of data engineering projects

Our comprehensive curriculum and certification program will prepare you for a successful career in data engineering.

Enroll in our Data Engineer Career Track today!

How long does it take to become a data engineer?

The journey to becoming a data engineer through our training program typically takes 6 to 12 months with dedicated study. But this timeline can vary based on your background, learning pace, and prior experience with programming and databases.

What is the career path of a data engineer?

The data engineer career path typically includes the following:

  • Data engineer certification
  • Junior Data Engineer
  • Data Engineer
  • Senior Data Engineer
  • Lead/Principal Data Engineer
  • Data Engineering Manager/Director

Each level requires increasing technical expertise, leadership skills, and system design capabilities. Through our data engineering program, you’ll get big data certification and all the skills necessary to land an entry-level position.

Is data engineering a good career choice?

Yes! Data engineering is an excellent career choice that offers strong job security, competitive salaries, and significant growth opportunities. As companies increasingly rely on data-driven decision-making, the demand for skilled data engineers continues to grow.

Follow our data engineer roadmap and get job-ready in just 6 months.

Are data engineer jobs in demand?

The demand for data engineer jobs is exceptionally high. The U.S. Bureau of Labor Statistics predicts the market will increase by 8% in the next decade—faster than average growth.

Companies across all sectors actively recruit professionals with data engineering expertise and certification. This trend will continue as data becomes increasingly crucial for business operations.

How difficult is it to become a data engineer?

Becoming a data engineer requires dedication to learning technical skills and understanding data architectures. While those with programming experience may find it easier to adapt, our structured data engineering courses make this journey manageable by providing comprehensive curriculum support, hands-on projects, and expert guidance.

Data Engineer Career Track

10 Courses

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