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Data Engineering

Build modern data pipelines from ingestion to insight

Learn the platform-portable principles of modern data engineering: warehouses, ETL vs ELT, Spark, streaming, dimensional modeling, and data quality. Examples are drawn from the tools data teams actually hire for in 2026 — Snowflake, BigQuery, Redshift, and Databricks — so the patterns travel with you wherever you work. The same patterns apply on Azure (ADF / Synapse / ADLS) and a dedicated Azure cross-reference module is on the roadmap for students targeting Microsoft-stack shops.

SnowflakeBigQuerydbtAirflowSQL ServerSparkPythonPower BI

Salary range

$80k – $145k

entry → mid US

Time to complete

14 wk

28 wk part-time

Lessons

10

4 phases

Capstone

Yes

real cloud account

Salary range is sourced from BLS Database Architects + Glassdoor 2026 data-engineer postings. Your specific outcome depends on location, experience, interview performance, and market conditions.

Roles this path prepares you for

  • Data Engineer
  • Analytics Engineer
  • ETL Developer
  • Snowflake Engineer

Curriculum

1

Data Engineering Foundations

Free preview

What data engineering is, the modern data stack, SQL for data engineers, dimensional modeling.

3 lessons

2

Pipelines End-to-End

Locked

ETL vs ELT, cloud data warehouses, Spark crash course, streaming basics.

4 lessons

3

Data Quality + First Pipeline

Locked

Data quality testing patterns and shipping your first end-to-end pipeline.

2 lessons

4

Career Launch (Data)

Locked

Data engineering career paths, interview prep, portfolio guidance.

1 lessons

Capstone project + completion certificate

End-to-end SQL → Synapse → Power BI pipeline

In your own Azure subscription: ingest AdventureWorksLT into ADLS bronze, transform via Databricks notebooks (silver + gold star schema), load into Synapse, and surface in Power BI. Schedule daily.

Deliverables

  • ·Master ADF pipeline scheduled to run daily
  • ·Databricks notebooks for bronze→silver and silver→gold
  • ·Synapse tables populated with fact + dim
  • ·Power BI report with 3+ visuals via DirectQuery
  • ·Azure Monitor alert on pipeline failure
Completion certificate. Finish every lesson in this path and we auto-issue a CloudPath Data Engineering certificate to your account, with a shareable verification URL. Show it on LinkedIn, your portfolio, or in a recruiter conversation.

Before you start

  • ·Basic SQL
  • ·Familiarity with the cloud (Cloud Foundations track or equivalent)

What you walk out with

  • Build production-grade Azure data pipelines
  • Design star schemas + dimensional models
  • Use Databricks for data transformation at scale
  • DP-203 certification ready
  • Interview confidently for Data Engineer roles

Ready to start?

Sign up, complete the 7-question fit-assessment wizard, and Atlas (your AI mentor) will tailor the path to your goals.

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