Data Engineer Roadmap 2026: 3 Levels to Get Hired
techTFQ
In this video, you will learn the complete Data Engineer Roadmap for 2026, broken down into 3 clear levels: Hireable, Amazing, and Master.
Instead of getting lost in 20+ tools like SQL, Python, Snowflake, Databricks, Airflow, dbt, Kafka, PySpark, Docker, Kubernetes and more, you will see exactly which skills to learn first, which tools to prioritize, and which real-world projects to build at each stage.
My Live SQL Bootcamp is back - the first one in over a year! 8 live sessions, Beginner to Advanced, starting Sept 5. Seats are limited ????
https://sqlnest.com/bootcamp/Live_SQL_Bootcamp_Beginner_to_Advanced
Level 1 (Hireable) focuses on SQL, Python and one cloud data warehouse with a simple end‑to‑end project to get you job‑ready.
Level 2 (Amazing) adds data modeling, Airflow, dbt, CI/CD, Git/GitHub and cloud skills so you can design robust production pipelines.
Level 3 (Master) introduces PySpark, Kafka, lakehouse formats like Iceberg/Delta Lake, data quality frameworks, Docker, Kubernetes and Terraform so you can work on large‑scale, real‑time data platforms.
By the end of this video, you will know:
Which 20% of skills you actually need to get your first data engineering job....
Instead of getting lost in 20+ tools like SQL, Python, Snowflake, Databricks, Airflow, dbt, Kafka, PySpark, Docker, Kubernetes and more, you will see exactly which skills to learn first, which tools to prioritize, and which real-world projects to build at each stage.
My Live SQL Bootcamp is back - the first one in over a year! 8 live sessions, Beginner to Advanced, starting Sept 5. Seats are limited ????
https://sqlnest.com/bootcamp/Live_SQL_Bootcamp_Beginner_to_Advanced
Level 1 (Hireable) focuses on SQL, Python and one cloud data warehouse with a simple end‑to‑end project to get you job‑ready.
Level 2 (Amazing) adds data modeling, Airflow, dbt, CI/CD, Git/GitHub and cloud skills so you can design robust production pipelines.
Level 3 (Master) introduces PySpark, Kafka, lakehouse formats like Iceberg/Delta Lake, data quality frameworks, Docker, Kubernetes and Terraform so you can work on large‑scale, real‑time data platforms.
By the end of this video, you will know:
Which 20% of skills you actually need to get your first data engineering job....
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