Overview
On Site
USD 160,000.00 - 240,000.00 per year
Full Time
Skills
Adaptability
Core Data
High Availability
FOCUS
User Experience
Real-time
Collaboration
Management
Bloomberg
Finance
Analytics
Software Development
Python
Computer Science
Mathematics
Systems Design
Conflict Resolution
Problem Solving
Data Processing
Apache Spark
Apache Flink
Apache Kafka
Data Quality
Performance Analysis
Testing
Continuous Integration
Continuous Delivery
Workflow
Productivity
Training
Life Insurance
Job Details
Senior Software Engineer - Anomaly Detection Platform
Location
New York
Business Area
Engineering and CTO
Ref #
10044221
Description & Requirements
Our team :
Bloomberg's financial data and analytics are defined by their timeliness and quality. Our Anomaly Detection team is building a scalable, adaptable platform to help detect performance and data quality issues early in the development cycle across Bloomberg's core data and analytics systems.
We thrive on collaboration and value diverse ideas. If you're passionate about solving high-scale, high-availability challenges that drive meaningful impact, we'd love to talk to you.
The role :
We are seeking a highly skilled senior engineer to help evolve our platform into a more robust, scalable, and self-service solution. You will play a key role in designing and building infrastructure that powers various testing and anomaly detection capabilities, with a strong focus on reliability, extensibility, user experience for end users, and developer experience for teams extending the platform.
What's in it for you :
You'll tackle challenging problems at the intersection of platform engineering and large-scale data processing, helping to build a resilient system that identifies data anomalies and performance regressions in real time. You'll collaborate with product owners, application developers, and infrastructure teams to deliver a seamless platform experience that enables faster testing and validation.
Your work will have a direct impact on the quality and stability of Bloomberg's core financial data and analytics ecosystem. Beyond core engineering, you also have the opportunity to shape our broader strategy for ensuring data quality and software stability across the ecosystem.
You'll need to have :
We'd love to see :
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Location
New York
Business Area
Engineering and CTO
Ref #
10044221
Description & Requirements
Our team :
Bloomberg's financial data and analytics are defined by their timeliness and quality. Our Anomaly Detection team is building a scalable, adaptable platform to help detect performance and data quality issues early in the development cycle across Bloomberg's core data and analytics systems.
We thrive on collaboration and value diverse ideas. If you're passionate about solving high-scale, high-availability challenges that drive meaningful impact, we'd love to talk to you.
The role :
We are seeking a highly skilled senior engineer to help evolve our platform into a more robust, scalable, and self-service solution. You will play a key role in designing and building infrastructure that powers various testing and anomaly detection capabilities, with a strong focus on reliability, extensibility, user experience for end users, and developer experience for teams extending the platform.
What's in it for you :
You'll tackle challenging problems at the intersection of platform engineering and large-scale data processing, helping to build a resilient system that identifies data anomalies and performance regressions in real time. You'll collaborate with product owners, application developers, and infrastructure teams to deliver a seamless platform experience that enables faster testing and validation.
Your work will have a direct impact on the quality and stability of Bloomberg's core financial data and analytics ecosystem. Beyond core engineering, you also have the opportunity to shape our broader strategy for ensuring data quality and software stability across the ecosystem.
You'll need to have :
- 4+ years of professional software development experience in Python or similar languages
- A degree in Computer Science, Engineering, Mathematics, a similar field of study or equivalent work experience
- Hands-on experience designing and building large-scale distributed systems
- Strong system design and problem-solving skills
We'd love to see :
- Experience building platforms that serve a large number of tenants
- Familiarity with large-scale data processing frameworks (e.g., Spark, Flink, Kafka)
- Passion for data quality, performance analysis, anomaly detection
- Familiarity with testing infrastructure, CI/CD workflows, or developer productivity tooling
- Experience with owning end-to-end delivery of complex engineering projects
Salary Range = 00 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.