Media & Entertainment H-1B1 Singapore Sponsorship Jobs in New Jersey
H-1B1 Singapore visa sponsorship jobs in New Jersey's media and entertainment sector span broadcast, digital content, publishing, and production. Major employers including NBCUniversal, iHeartMedia, and Audible maintain New Jersey operations, with hubs in Newark, Jersey City, and the Meadowlands corridor. Singaporean professionals with specialty-occupation backgrounds will find active sponsorship activity across both legacy media companies and digital-first studios.
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Skillman
Business Area
Engineering and CTO
Ref
10049368
Description & Requirements
The Core Financial Analytics team provides the foundational pricing, analytics, and data infrastructure that powers Bloomberg’s markets business. The group delivers cross-asset solutions for curves, volatility surfaces, consensus pricing, screening tools, and listed derivatives, ensuring that clients and internal systems have access to accurate, transparent, and real-time market data. The global derivatives market is valued at over USD 540 trillion, and Bloomberg’s Listed Derivatives team builds the systems that allow traders, analysts, quants, and risk managers to navigate this massive, rapidly evolving landscape. We empower clients to perform idea generation, real-time market surveillance, historical analysis, volatility monitoring, and much more. Our product coverage spans options, futures, strategies, and spreads as well as the growing number of variations of each across every major global exchange.
Our team
We are developing new frameworks to holistically acquire all publicly available exchange data from Kafka streams, APIs, SFTP, and various other data channels in order to modernize how Bloomberg ingests, consolidates, and distributes derivatives reference data. As the domain is accelerating in growth, our mission is to construct a unified producer store that downstream teams across Bloomberg can rely on for consistent, timely, high-quality data. Bonus: We have recently begun contributing to the Short Interest domain, which presents a similar business challenge. While this effort is independent from our work in derivatives, we are applying many of the same technical methodologies to drive change.
Tech Stack
Our backend systems focus on ETL pipelines and low-latency publication of high-volume real-time data into centralized producer stores. You’ll work primarily in Python, across a broad technical ecosystem including: Kafka, Bloomberg’s MQ (BMQ) | BBDS, comdb, Trino | DTP, DFR, BAIT | Redis | Bloomberg 3-Tier services and distributed storage systems.
What’s In It For You
You’ll have the chance to design and implement scalable data platforms that power Bloomberg’s derivatives ecosystem. You’ll work on distributed systems and low-latency ETL pipelines that process high-volume market data, collaborating with engineers and product partners across the organization. This role offers deep technical challenges, visibility across multiple asset classes, and the opportunity to influence data engineering best practices firmwide.
We’ll trust you to
- Build and optimize back-end data pipelines for high-volume, low-latency publishing into centralized producer stores.
- Design, implement, and deploy ETL workflows and platforms that support modern data acquisition and distribution.
- Collaborate with partner teams and stakeholders to align data models and ensure reliability and scalability.
- Improve data quality, timeliness, and consistency through automated validation and monitoring.
- Contribute to architectural discussions and mentor other engineers on best practices in distributed systems and data engineering.
You’ll need to have
- 4+ years of experience in software engineering with proficiency in Python.
- Experience building or maintaining distributed data systems or ETL pipelines.
- Working knowledge of streaming and messaging technologies such as Kafka or BMQ.
- Familiarity with relational or distributed query systems (e.g., Trino, Redis, DTP).
- A degree in Computer Science, Engineering, Mathematics, similar field of study, or equivalent work experience.
We’d love to see
- Experience with large-scale data processing, low-latency systems, or real-time analytics.
- Familiarity with Bloomberg’s internal infrastructure (3-Tier, BBDS) or similar frameworks.
- Knowledge or interest of financial markets, especially derivatives or reference data.
- A collaborative mindset with an interest in mentoring and growing technical depth across the team.
- Strong motivation to partner across teams to achieve cohesive, department-wide success on domain-specific problems.
Salary Range
160000 - 240000 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.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Location
Skillman
Business Area
Engineering and CTO
Ref
10049368
Description & Requirements
The Core Financial Analytics team provides the foundational pricing, analytics, and data infrastructure that powers Bloomberg’s markets business. The group delivers cross-asset solutions for curves, volatility surfaces, consensus pricing, screening tools, and listed derivatives, ensuring that clients and internal systems have access to accurate, transparent, and real-time market data. The global derivatives market is valued at over USD 540 trillion, and Bloomberg’s Listed Derivatives team builds the systems that allow traders, analysts, quants, and risk managers to navigate this massive, rapidly evolving landscape. We empower clients to perform idea generation, real-time market surveillance, historical analysis, volatility monitoring, and much more. Our product coverage spans options, futures, strategies, and spreads as well as the growing number of variations of each across every major global exchange.
Our team
We are developing new frameworks to holistically acquire all publicly available exchange data from Kafka streams, APIs, SFTP, and various other data channels in order to modernize how Bloomberg ingests, consolidates, and distributes derivatives reference data. As the domain is accelerating in growth, our mission is to construct a unified producer store that downstream teams across Bloomberg can rely on for consistent, timely, high-quality data. Bonus: We have recently begun contributing to the Short Interest domain, which presents a similar business challenge. While this effort is independent from our work in derivatives, we are applying many of the same technical methodologies to drive change.
Tech Stack
Our backend systems focus on ETL pipelines and low-latency publication of high-volume real-time data into centralized producer stores. You’ll work primarily in Python, across a broad technical ecosystem including: Kafka, Bloomberg’s MQ (BMQ) | BBDS, comdb, Trino | DTP, DFR, BAIT | Redis | Bloomberg 3-Tier services and distributed storage systems.
What’s In It For You
You’ll have the chance to design and implement scalable data platforms that power Bloomberg’s derivatives ecosystem. You’ll work on distributed systems and low-latency ETL pipelines that process high-volume market data, collaborating with engineers and product partners across the organization. This role offers deep technical challenges, visibility across multiple asset classes, and the opportunity to influence data engineering best practices firmwide.
We’ll trust you to
- Build and optimize back-end data pipelines for high-volume, low-latency publishing into centralized producer stores.
- Design, implement, and deploy ETL workflows and platforms that support modern data acquisition and distribution.
- Collaborate with partner teams and stakeholders to align data models and ensure reliability and scalability.
- Improve data quality, timeliness, and consistency through automated validation and monitoring.
- Contribute to architectural discussions and mentor other engineers on best practices in distributed systems and data engineering.
You’ll need to have
- 4+ years of experience in software engineering with proficiency in Python.
- Experience building or maintaining distributed data systems or ETL pipelines.
- Working knowledge of streaming and messaging technologies such as Kafka or BMQ.
- Familiarity with relational or distributed query systems (e.g., Trino, Redis, DTP).
- A degree in Computer Science, Engineering, Mathematics, similar field of study, or equivalent work experience.
We’d love to see
- Experience with large-scale data processing, low-latency systems, or real-time analytics.
- Familiarity with Bloomberg’s internal infrastructure (3-Tier, BBDS) or similar frameworks.
- Knowledge or interest of financial markets, especially derivatives or reference data.
- A collaborative mindset with an interest in mentoring and growing technical depth across the team.
- Strong motivation to partner across teams to achieve cohesive, department-wide success on domain-specific problems.
Salary Range
160000 - 240000 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.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Media & Entertainment Job Roles in New Jersey
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Search Media & Entertainment Jobs in New JerseyMedia & Entertainment Jobs in New Jersey: Frequently Asked Questions
Which media and entertainment companies in New Jersey sponsor H-1B1 Singapore visas?
New Jersey hosts several media and entertainment employers with H-1B1 Singapore sponsorship history, including NBCUniversal's operations near the Meadowlands, iHeartMedia's regional offices, and Audible's Newark headquarters. Publishing companies and digital content studios in the Newark and Jersey City metro area have also filed Labor Condition Applications for specialty-occupation roles. Sponsorship activity varies by company size, role type, and current hiring cycles, so reviewing DOL LCA disclosure data through the OFLC Wage Search tool gives the most current picture.
Which cities in New Jersey have the most media and entertainment H-1B1 Singapore sponsorship jobs?
Newark and Jersey City concentrate the highest volume of media and entertainment sponsorship activity in New Jersey, partly due to their proximity to New York City's broader media market. The Meadowlands area in Bergen County also draws production and broadcasting employers. Hoboken has seen growth in digital media and content companies. Smaller markets like Morristown and Princeton occasionally post specialty-occupation media roles, particularly in corporate communications, publishing, and digital strategy.
What types of media and entertainment roles typically qualify for H-1B1 Singapore sponsorship in New Jersey?
Roles that qualify for H-1B1 visa Singapore sponsorship must meet the specialty-occupation standard, meaning they require at least a bachelor's degree in a directly related field. In media and entertainment, qualifying roles commonly include software engineers working on streaming or broadcast platforms, data analysts, UX designers, content strategists with technical backgrounds, digital marketing managers, and broadcast engineers. General production assistant or on-set roles that do not require a specific degree typically do not qualify. USCIS determines eligibility case by case.
How do I find media and entertainment H-1B1 Singapore sponsorship jobs in New Jersey?
Migrate Mate filters jobs specifically by visa type, so you can search for H-1B1 Singapore-eligible media and entertainment roles in New Jersey without manually screening out employers who don't sponsor. The platform surfaces employers with verified LCA filing history in the sector, covering roles in production, digital content, broadcasting, and publishing across Newark, Jersey City, and surrounding areas. This is more efficient than broad job searches that rarely indicate H-1B1 Singapore sponsorship eligibility upfront.
Are there any New Jersey-specific considerations for H-1B1 Singapore sponsorship in media and entertainment?
New Jersey's position within the greater New York media market means many employers have dual offices, and some LCAs are filed under New York prevailing wage rates even for New Jersey work locations. The H-1B1 Singapore visa requires a specialty-occupation job offer and a certified LCA reflecting the correct work location and prevailing wage. New Jersey does not impose additional state-level visa sponsorship requirements, but employers must comply with New Jersey labor laws alongside federal DOL obligations. Consulting USCIS and DOL guidance directly is recommended.
What is the prevailing wage for H-1B1 Singapore media & entertainment jobs in New Jersey?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.