Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

AUSTIN, Texas & CAMBRIDGE, Mass.--(BUSINESS WIRE)--A survey commissioned by data.world and DataKitchen reveals a disturbing state of affairs among data engineering professionals. The study of 600 data ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. In today's competitive business landscape, data has surpassed the meaning of just a word.

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 ...

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 ...

AIM Media House brings the Data Engineering Summit 2026 to Bengaluru, uniting engineers and leaders to explore the frameworks ...

Explore the evolution of data engineering, focusing on agentic systems and AI pipelines for enhanced analytics and enterprise ...

Like cats and dogs, data engineers and data scientists often seem like two incompatible species. Scientists love probabilities and experimentation, while engineers live for repeatability and ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...