Design, develop, test, and maintain robust data pipelines and ETL/ELT processes on Databricks (Delta Lake, Spark, SQL, Python/Scala/SQL notebooks). Architect scalable data models and data vault/ ...

The Mid-Level Data Engineer is responsible for building, maintaining, and optimizing data pipelines that support data-driven operations and analytics. This role involves developing reliable ETL ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. Data engineering is the collection, transformation and ...

DATA_ENG 200 and 1 unit from each of the following core areas; Statistics Foundations, Intermediate Programming/Algorithmic Skills, and Applied Machine Learning ...

In 2026, data engineering isn't just about managing data-it's about building intelligent systems that power business strategy. Companies are moving beyond batch warehouses to real-time, cloud-native ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...