Data Engineering at Bloomberg
Roles, Comp & Culture
An L6 staff data engineer at Bloomberg sits around $374K total comp from 63 verified salary datapoints. The primary Data Engineering tech consists of CI/CD, Databricks and GCP, according to current job listings. Bloomberg pays data engineers above other Finance companies. Reviews put them at 4.0 on Glassdoor, a little above the middle of the pack. Bloomberg employees are stressed and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 9 data engineering roles are open right now.
Bloomberg data engineer compensation
Each level's figure is the median of individual Bloomberg offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
Bloomberg employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Bloomberg data engineering tech stack
The languages, storage, and processing tools Bloomberg data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLBloomberg data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets
You will design and develop shared components, workflow patterns, and developer-facing systems that enable teams to deliver data pipelines with greater consistency, efficiency, and reliability.
Design and build data pipelines to enable decision making through analytics
Lead and develop a central team responsible for defining and delivering shared data infrastructure and reusable workflow patterns that improve consistency and efficiency across teams
Build and enhance data pipelines and processes that powers Bloomberg’s Private Funds and Hedge Funds Databases, ensuring high data quality, consistency, and reliability.
You are a data engineer who thrives in a highly collaborative environment, partnering with product, analytics, and engineering teams to deliver high-quality, trusted data.
Preparing for the Bloomberg loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Bloomberg with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Bloomberg interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition