Data Engineering Podcast

About Data Engineering Podcast

A weekly podcast about modern data infrastructure, covering tools, techniques, and best practices in data engineering. The show features interviews with practitioners and creators of popular data tools and frameworks.

Key Features

• 1Long-running podcast dedicated to data engineering tools and practices
• 2Weekly episodes featuring engineers from leading tech companies
• 3Deep dives into specific tools: Airflow, Spark, Kafka, dbt, and more
• 4Interviews cover architecture decisions, lessons learned, and career paths
• 5Extensive back-catalog covering 400+ episodes of practitioner insights

How Python Data Engineers Use Data Engineering Podcast

Python data engineers listen to the Data Engineering Podcast to learn how practitioners at scale-stage companies design and operate Python-based data infrastructure. Episodes on Airflow DAG management, PySpark optimization, and Python library selection provide real-world context that bridges documentation and production usage.