Data Analytics Engineer Jobs at Bloomberg with Visa Sponsorship
Data Analytics Engineer roles at Bloomberg sit at the intersection of financial data infrastructure and engineering, typically requiring expertise in data pipelines, distributed systems, and analytics tooling. Bloomberg has a consistent track record of sponsoring work visas for this function, covering multiple nonimmigrant and immigrant pathways.
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Get Access To All JobsLocation: New York
Business Area: Engineering and CTO
Ref: 10047267
Description & Requirements
Bloomberg’s Securitized Products (SP) Analytics group develops the mission-critical systems that power the global securitized products markets. Our SP Cashflow Engine team is at the core of this ecosystem, building the high-performance software that computes and projects future cashflow payments for complex instruments such as MBS, CMBS, and ABS. These projections are the foundation for the analytics, pricing, and risk metrics used across all of Bloomberg’s Terminal and Enterprise solutions. We are seeking a Senior Software Engineer who is passionate about writing high-performance C++, learning about financial modeling, and working with large-scale, time-sensitive calculation engines.
- Design, develop, and optimize the Cashflow Engine, focusing on C++ models that precisely project security cashflows under various complex scenarios.
- Implement and maintain core projection logic for modeling the complex behavior of underlying assets and their impact on structured debt payments.
- Solve challenging computer science problems inherent in managing the massive datasets and the intricate, time-sensitive calculations required for cashflow projections.
- Collaborate closely with our world-class team of expert financial engineers and industry veterans to translate complex instrument structures directly into robust, production-ready projection code.
- Contribute to the core systems that define the future of securitized product modeling at Bloomberg.
You'll Need To Have
- 4+ Years of experience working with C++.
- A proven track record as a Senior-level contributor in designing and building critical, high-volume software.
- A strong desire and aptitude to develop deep, specialized domain expertise in the intricacies of Securitized Products cashflow modeling.
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
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: New York
Business Area: Engineering and CTO
Ref: 10047267
Description & Requirements
Bloomberg’s Securitized Products (SP) Analytics group develops the mission-critical systems that power the global securitized products markets. Our SP Cashflow Engine team is at the core of this ecosystem, building the high-performance software that computes and projects future cashflow payments for complex instruments such as MBS, CMBS, and ABS. These projections are the foundation for the analytics, pricing, and risk metrics used across all of Bloomberg’s Terminal and Enterprise solutions. We are seeking a Senior Software Engineer who is passionate about writing high-performance C++, learning about financial modeling, and working with large-scale, time-sensitive calculation engines.
- Design, develop, and optimize the Cashflow Engine, focusing on C++ models that precisely project security cashflows under various complex scenarios.
- Implement and maintain core projection logic for modeling the complex behavior of underlying assets and their impact on structured debt payments.
- Solve challenging computer science problems inherent in managing the massive datasets and the intricate, time-sensitive calculations required for cashflow projections.
- Collaborate closely with our world-class team of expert financial engineers and industry veterans to translate complex instrument structures directly into robust, production-ready projection code.
- Contribute to the core systems that define the future of securitized product modeling at Bloomberg.
You'll Need To Have
- 4+ Years of experience working with C++.
- A proven track record as a Senior-level contributor in designing and building critical, high-volume software.
- A strong desire and aptitude to develop deep, specialized domain expertise in the intricacies of Securitized Products cashflow modeling.
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.
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.
See all 45+ Data Analytics Engineer at Bloomberg jobs
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Bloomberg Jobs
Align your portfolio to Bloomberg's data stack
Bloomberg's engineering teams rely heavily on proprietary and large-scale distributed data infrastructure. Showcase projects involving high-throughput pipelines, real-time data processing, or financial data modeling to signal direct fit before your application reaches a recruiter.
Target Bloomberg's engineering divisions strategically
Data Analytics Engineer openings at Bloomberg span multiple product lines, from terminal data services to enterprise analytics. Applying to roles tied to core data infrastructure teams tends to align better with the visa-sponsoring positions than peripheral product roles.
Confirm sponsorship scope during the offer stage
Ask specifically whether Bloomberg will support both the Labor Condition Application filed with DOL and the I-129 petition filed with USCIS. Some large employers cover nonimmigrant sponsorship but set internal thresholds before committing to PERM-based Green Card sponsorship.
Time your application around H-1B cap registration
If you need H-1B sponsorship, USCIS opens cap registration each March for October 1 start dates. Bloomberg has internal deadlines to meet this window, so targeting their hiring cycle in Q4 or Q1 improves your chances of hitting that timeline.
Browse open roles through Migrate Mate's job board
Filtering for Data Analytics Engineer roles at Bloomberg by visa type is faster through Migrate Mate, which surfaces verified sponsoring employers. This helps you prioritize applications to teams with active openings rather than speculative outreach.
Data Analytics Engineer at Bloomberg jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Bloomberg JobsFrequently Asked Questions
Does Bloomberg sponsor H-1B visas for Data Analytics Engineers?
Yes, Bloomberg sponsors H-1B visas for Data Analytics Engineer roles. The process involves Bloomberg filing a Labor Condition Application with the DOL and then submitting an I-129 petition to USCIS on your behalf. Because H-1B is subject to the annual cap and lottery, timing your offer and start date around the March registration window is essential. Bloomberg also sponsors H-1B1 and E-3 visas, which are cap-exempt alternatives for eligible nationalities.
How do I apply for Data Analytics Engineer jobs at Bloomberg?
Applications go through Bloomberg's careers portal, where you can filter by role and location. Tailoring your resume to reflect experience with large-scale data pipelines, analytics engineering frameworks like dbt, and distributed systems increases visibility with Bloomberg's technical recruiters. You can also browse verified open Data Analytics Engineer positions at Bloomberg filtered by visa sponsorship type on Migrate Mate, which simplifies identifying which specific openings are actively sponsoring.
Which visa types does Bloomberg commonly use for Data Analytics Engineers?
Bloomberg sponsors H-1B, H-1B1, and E-3 visas for Data Analytics Engineer roles, along with immigrant pathways including EB-2 and EB-3 for longer-term sponsorship. H-1B is the most widely used for this function but is subject to the annual lottery. E-3 is exclusive to Australian citizens and avoids the lottery entirely. H-1B1 covers nationals from Singapore and Chile and is also cap-exempt.
What qualifications does Bloomberg expect for Data Analytics Engineer roles?
Bloomberg typically expects a bachelor's degree or higher in computer science, engineering, mathematics, or a closely related technical field, which also satisfies the specialty occupation requirement for H-1B and E-3 sponsorship. Beyond the degree, hands-on experience with data pipeline tools, SQL at scale, Python, and distributed systems like Kafka or Spark is consistently reflected in Bloomberg's Data Analytics Engineer job descriptions.
How long does the visa sponsorship process take at Bloomberg for this role?
For H-1B, the cap registration window opens in March and employment can start October 1 at the earliest, creating a timeline of roughly six to eight months from offer to start date. E-3 and H-1B1 move faster since they're cap-exempt and can be filed year-round, with USCIS standard processing taking two to four months. Bloomberg's legal team typically manages the filing once an offer is accepted and internal approval is secured.
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