招聘
Our financial products rely on petabytes of real-time and historical data. Data Hub is Bloomberg’s distributed data platform powering that scale—managing billions of row mutations daily across thousands of MySQL/MyRocks shards. We operate at the intersection of high availability, low latency, and massive scale. Your mission: keep this engine fast, safe, and observable as we double in size.
Our Team
We’re the team that makes Bloomberg’s financial data discoverable, usable, and reliable across the entire company. We organize datasets into structured, schema-evolving, point-in-time-queryable resources, all accessible via a unified API. We run on Kubernetes, automate with Go and Python, and power petabyte-scale analytics with Vitess, Spark, and Kafka. We're a tight-knit group of engineers who contribute upstream, tune clusters across cloud and bare metal, and push the state-of-the-art in database reliability.
What’s in it for you
- You’ll get to design for scale - millions of events, thousands of shards, zero downtime
- You’ll work with Vitess, My Rocks, and Kubernetes on production systems across regions
- You’ll shape the tools and processes that make Data Hub’s growth sustainable
- You’ll have the chance to mentor others while deepening your own systems expertise
We’ll trust you to
- Design, automate, and operate multi-region Vitess-backed MySQL/My
Rocks clusters in Kubernetes:
- Build internal tools in Go or Python for failover, schema changes, and performance testing
- Harden our CI/CD pipelines and custom K8s operators for infrastructure components
- Partner with engineers across Bloomberg to scale and standardize data operations
- Share your expertise on distributed systems, SLOs, and production debugging
You’ll need to have
- 4+ years of professional software development and/or SRE experience
- Deep knowledge of database internals
- Strong programming skills in Go and/or Python
- A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
We’d love to see
- Contributions to open source projects like MySQL, RocksDB, My Rocks, or Vitess
- Familiarity with Kafka, Spark, or lakehouse architectures
- Experience with Infrastructure-as-Code (Terraform, Ansible, Open Tofu)
- A passion for reliability, scale, and mentoring others
Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus
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About Bloomberg

Bloomberg
PublicBloomberg provides financial software, data, and media services to financial professionals and institutions worldwide. The company operates Bloomberg Terminal, a computer software system that enables professionals to access real-time financial market data and trading tools.
10,001+
Employees
Midtown Manhattan
Headquarters
Reviews
4.0
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.0
Management
2.8
65%
Recommend to a Friend
Pros
High compensation and competitive total compensation
Good work-life balance
Company stability and job security
Cons
Slow career progression and promotion speed
Management issues and micromanagement
Limited remote work flexibility
Salary Ranges
9,877 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Junior/L3 · Analyst
218 reports
$112,439
total / year
Base
$101,873
Stock
-
Bonus
$10,565
$76,401
$167,018
Interview Experience
14 interviews
Difficulty
2.9
/ 5
Duration
14-28 weeks
Offer Rate
21%
Experience
Positive 50%
Neutral 29%
Negative 21%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Rounds/Superday
5
Virtual/Onsite Interviews
6
Final Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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