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Bloomberg Software Engineer Jobs in New Jersey (NOW HIRING)

Cognizant

Deskside Engineer Lead -NJ

Princeton, NJ · On-site

$79 - $90/hr

Support trading and market data platforms such as Bloomberg Terminal Refinitiv/Eikon Reuters ... Perform software installations upgrades user access management and hardware deployments. Maintain ...

Cognizant

Deskside Engineer-Lead

Princeton, NJ · On-site

$80 - $92/hr

Perform software installations upgrades user access management and hardware deployments. * Maintain documentation and follow ITIL-based support processes. * Experience supporting Bloomberg Refinitiv ...

1Huddle

Solutions Architect

Newark, NJ · On-site

$66 - $86.75/hr

Featured on Fox News, CNN, Huff Post, Bloomberg & The Wall Street Journal. As a Solutions Architect ... Proficiency with the 1Huddle platform or technical expertise with cloud software solutions

All JobsBloomberg Software Engineer JobsBloomberg Software Engineer Jobs in New Jersey

Bloomberg Software Engineer information

See New Jersey salary details

$64.5K

$149.8K

$208.6K

How much do bloomberg software engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for bloomberg software engineer in New Jersey is $149,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $175,600.00 per year, depending on experience, location, and employer.

What is a Bloomberg software engineer?

A Bloomberg Software Engineer is responsible for designing, developing, and maintaining the financial software and infrastructure that powers Bloomberg's data, analytics, and trading platforms. They work with technologies such as C++, Python, and JavaScript to build scalable and efficient systems. Engineers collaborate closely with product managers and financial analysts to develop solutions that meet the needs of Bloomberg's clients. The role requires strong problem-solving skills, knowledge of algorithms and data structures, and the ability to write clean, high-performance code.

What does a Bloomberg software engineer do?

As a Bloomberg Software Engineer, you'll spend your days developing and maintaining software solutions that power Bloomberg's real-time financial information systems. This involves a mix of designing scalable code, troubleshooting performance issues, participating in code reviews, and collaborating closely with product managers, data specialists, and other engineers. You can expect to work in an agile, team-oriented environment with frequent meetings focused on product development and solution brainstorming. The work is fast-paced but offers a rich opportunity to learn from talented peers and contribute to impactful, real-world financial technology.

What are the key skills and qualifications needed to thrive as a Bloomberg software engineer?

To thrive as a Bloomberg Software Engineer, you typically need strong programming skills in languages such as C++, Python, or Java, a solid foundation in computer science, and a bachelor's degree in a related field. Familiarity with distributed systems, real-time data processing, and tools like Git or Jenkins is commonly expected, while industry certifications can be an advantage but are not mandatory. Excellent problem-solving abilities, teamwork, and effective communication are essential soft skills in this collaborative, high-paced environment. These competencies ensure you can deliver robust, scalable solutions and work effectively within Bloomberg's dynamic software engineering teams.

What are the most commonly searched types of Bloomberg Software Engineer jobs in New Jersey?

The most popular types of Bloomberg Software Engineer jobs in New Jersey are:

What are popular job titles related to Bloomberg Software Engineer jobs in New Jersey?

For Bloomberg Software Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Bloomberg Software Engineer jobs in New Jersey look for?

The top searched job categories for Bloomberg Software Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Bloomberg Software Engineer jobs?

Cities in New Jersey with the most Bloomberg Software Engineer job openings:

Bloomberg Software Engineer jobs near you
Infographic showing various Bloomberg Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $149,771 per year, or $72 per hour.

Cloud Site Reliability Engineer (SRE) - Data Management & Analytics Platform

Bloomberg LP

Princeton, NJ • On-site

$59.75 - $79.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies

Job description

Cloud Site Reliability Engineer (SRE) - Data Management & Analytics Platform
Location
Princeton
Business Area
Engineering and CTO
Ref #
10050564
Description & Requirements
At Bloomberg, data is at the heart of everything we do. As part of the Data Management and Analytics Platform (DMAP) SRE team you will play a critical role in driving analytics throughout the organization to improve our products, better engage with our customers, create greater efficiencies, and unlock new business opportunities through data-driven insights.
Our team is responsible for capturing and processing the who, what, when, where, and why of how clients use Bloomberg products, how our systems perform, and how employees interact with customers. We ingest and prepare massive volumes of data to power reporting, dashboards, self-service tools, and advanced analytics used across the company.
We are looking for a Cloud Site Reliability Engineer (SRE) who is passionate about building and operating highly reliable, scalable data platforms in the cloud. In this role, you will focus on ensuring the availability, performance, and scalability of critical data pipelines and analytics infrastructure. You will work at the intersection of software engineering and infrastructure, applying automation, observability, and reliability best practices to support large-scale distributed systems.
You'll Be Trusted To
  • Design, build, and operate highly available, scalable, and resilient cloud infrastructure supporting large-scale data ingestion and analytics platforms
  • Define, implement, and monitor SLIs/SLOs for data systems and services; drive reliability improvements using error budgets and operational metrics
  • Improve observability across data pipelines and platforms through logging, metrics, tracing, and alerting
  • Automate infrastructure provisioning and system management using Infrastructure as Code (IaC)
  • Lead incident response efforts, perform root cause analysis (RCA), and implement post-incident improvements
  • Optimize performance, reliability, and cost efficiency of cloud-based data systems
  • Ensure data platform reliability, including batch and streaming pipelines, storage systems, and reporting infrastructure
  • Partner with data engineers, software engineers, and stakeholders to improve system reliability and operational maturity
  • Strengthen platform security through proactive monitoring, vulnerability management, and cloud security best practices
  • Continuously improve CI/CD pipelines and deployment processes for data infrastructure

You'll Need To Have
  • 5+ years of experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles
  • Strong proficiency in at least one programming or scripting language (Python, and/or Go)
  • Experience supporting production systems with a focus on reliability, scalability, and observability
  • Hands-on experience operating or designing highly available distributed systems.
  • A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience

We'd Love To See
  • Experience supporting large-scale data platforms, data pipelines, or analytics infrastructure
  • Strong experience operating production systems in AWS at scale
  • Experience defining and managing SLIs, SLOs, and error budgets
  • Strong background in monitoring and observability tools (e.g., Prometheus, Grafana, CloudWatch, Datadog)
  • Experience leading incident management and conducting postmortems
  • Hands-on experience with Infrastructure as Code (Terraform or CloudFormation)
  • Experience building and maintaining CI/CD pipelines
  • Strong understanding of distributed systems and cloud architecture
  • Experience with containerized workloads (Docker, Kubernetes)
  • Knowledge of AWS services related to data platforms (e.g., S3, EMR, Lambda, Kinesis, Glue, Redshift)
  • Knowledge of Databricks or Snowflake platform
  • Experience with cloud networking concepts (VPCs, routing, security groups)
  • Experience optimizing cloud costs in large-scale environments
  • AWS certification (Associate level or above)
  • A security-first mindset and familiarity with compliance and data governance best practices
  • Experience using operational metrics and data to drive continuous improvement

Our most successful engineers are collaborative, data-driven, and take strong ownership of production systems end-to-end, ensuring the reliability of the data platforms that power Bloomberg's analytics and insights.
Salary Range = 160,000 - 240,000 USD Annual + 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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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