Learn SQL, Python, data modeling, ETL/ELT pipelines, PySpark, Airflow and cloud data warehouses on real data problems, build a hands-on Data Engineer portfolio, and explore the next steps toward a career as a Data Engineer.
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Everything built into the program to take you from SQL and Python fundamentals to data pipelines, ETL, Spark, Airflow and cloud data warehouses.
Learn in real time with expert instructors — every session live and interactive.
Build data pipelines, ETL jobs, data models and production-ready analytics datasets.
Get guidance on SQL, Python, Spark, Airflow, cloud data platforms and career preparation.
Resume and LinkedIn optimization, Data Engineer job search guidance and career support.
Practice business case studies, requirements scenarios, technical and behavioral interviews with structured feedback.
Receive a certificate validating your Data Engineer training.
Revisit live sessions with extended recording access when you need more practice.
Learn in a focused cohort with guided DE labs, pipeline-building projects and mentor support.
Data Engineer and technology placements across the U.S. — proof that this path works.
What Data Engineer placements look like for our graduates across the U.S.
Graduates of the Data Engineer Bootcamp now work at companies we partner with — here's what they say.
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Nine practical modules covering SQL, Python, data modeling, ETL/ELT, Spark, Airflow, cloud data warehouses and dbt — ending with an end-to-end data engineering capstone.
Fill a quick form and get the full 90-day curriculum PDF instantly.
Build Strong Data Engineering Foundations
Build DE Skills. Become Career-Ready.
Personalized Data Engineer Training. Dedicated Career Support.
Monthly payment plans are available on all plans — spread your payment over easy installments. Not sure which plan fits? Apply free and talk to our team before you decide.
The modern data engineering toolkit — from SQL and Python to Spark, Airflow, dbt and cloud data warehouses — taught live and hands-on over 90 days.
Query & transform business data
Scripting & ETL jobs
Big data processing at scale
Orchestration & scheduling
Ingestion & batch processing
Transformations & testing
Snowflake, BigQuery & Redshift
Dimensional & star schemas
Real instructors, real time
Portfolio-ready applications
Build real ETL pipelines
Build Airflow & dbt DAGs
Resume & interview coaching
Spark, batches & streaming
Six simple steps to build practical data engineering skills and prepare for Data Engineer career opportunities.
Register and get your syllabus instantly.
Live hands-on DE training.
Build data pipelines, ETL jobs and data modeling projects.
Create a portfolio-ready data engineering project.
Resume, mock interviews & job search guidance.
Prepare for Data Engineer, Analytics Engineer and ETL Developer opportunities.
Step 01 — Apply in under a minute and get your syllabus, class links and bootcamp updates by email.
Have questions about the Data Engineer bootcamp, curriculum, pricing or career paths? Book a free consultation with our team.
No obligation. Just guidance to help you plan your next career step.