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.

Discover how Sougandhika Tera, a leading cloud data engineer, is revolutionizing lakehouse orchestration. Learn her ...

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 ...

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 ...

Breaking into a senior data engineer role in 2026 means more than technical mastery—it’s about leadership, strategic thinking, and visible impact. Employers expect a blend of architectural vision, ...

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 ...

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. Companies are searching for and competing for increasingly scarce data ...

What if you could future-proof your career by stepping into one of the most in-demand tech roles of the decade? As companies increasingly rely on data to drive decisions, the role of a data engineer ...

Data Science: Depending on where you want to dwell in the "data factory," you can choose between Data Science, Data Engineering, and Artificial Intelligence. Despite their connections, they call for ...

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 ...