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.

Data engineers used to operate mostly behind the scenes, moving digital information from one system to another so analysts and executives could make sense of it later. Now, as companies rely more ...

It’s always tempting to say that things were simple in the old days. But speak with any surviving COBOL or Fortran programmer, especially those who had to deal with punch cards or rotating drums, and ...

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 ...

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 ...

What’s the difference between a data engineer and a data analyst? Data isn’t much good without people who know how to collect it, shape it, and explain what it means. That’s where data engineers and ...

Meta went on a hiring spree in 2025, paying extraordinary salaries to secure top engineering and AI talent. According to a ...

AI‑driven payroll is expanding fast, but legacy systems and compliance complexity threaten success. Member of the ...

“Over the past decade, the number of Bloomberg employees has doubled,” wrote Michael Bloomberg in a recent Business Post op-ed. “Our Dublin office is now nearly our largest in the EU.” The Bloomberg ...

Offered: Winter (TTh 12:30-1:50 p.m.) and Spring (TTh 9:30-10:50 a.m.) Data Engineering Studio teaches how to build a sustainable data science lifecycle. Students will analyze data in multiple ...