Skip to main content
Career PathsOutcome → Data Engineer

Data Engineer Path

Technical professionals who want to build the pipelines and platforms that power analytics and AI.

4 stepsHands-on labsCapstone + portfolioA named role

Save $97 vs. courses separately

By the end, you can

What this path makes you able to do.

  • Explain the modern data stack and pipeline architectures
  • Build ETL and ELT pipelines with orchestration and dbt
  • Run data platforms with warehouses, streaming, and data quality
A guided journey, not a pile of courses

The 4-step path.

  1. 1

    Data Engineering Foundations

    The role and the modern stack

    View course
  2. 2

    Building Data Pipelines

    ETL/ELT, Airflow, and dbt

    View course
  3. 3

    Data Platforms & Quality

    Warehouses, streaming, quality

    View course
  4. Capstone: build a data pipeline

    An orchestrated ETL or ELT pipeline into a warehouse with transformations, tests, and a data-quality plan

Every path is backed by

Hands-on labs. A final exam & capstone. A real role.

You finish with a portfolio you can show, a cumulative exam, and the skills to land the Data Engineer role.

Not sure this is the one? Take the free fit and aptitude check first: twelve short questions, instant answer.