Data Engineer Jobs at Bloomberg with Visa Sponsorship
Bloomberg's Data Engineer roles sit at the intersection of financial data infrastructure and large-scale distributed systems. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B, E-3, and immigrant visa pathways as part of its global engineering hiring.
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Applied Machine Learning Engineer - Media Search and Recommendation
Location
New York
Business Area
Engineering and CTO
Ref #
10049313
Description & Requirements
Our Team
Bloomberg Media empowers global business leaders with breaking news, expert opinion and proprietary data distributed with global reach. With millions of unique visitors each month, our flagship website bloomberg.com is the go-to destination for those looking to stay ahead of the curve. As one of the top 10 most visited financial and news sites on the web, we take pride in delivering top-quality content that our audience can trust.
The Search and Personalization team owns the core discovery experiences on Bloomberg.com and the Bloomberg mobile app. We are responsible for how users search for, discover, and engage with content across a global audience, with a strong focus on personalization and recommendations. By powering Bloomberg’s discovery hub, we play a critical role in helping users find the content that matters most to them, ensuring experiences are relevant, timely, and high quality. Our systems operate at web scale and sit at the intersection of backend services, data pipelines, and user-facing experiences. We are looking for a dedicated and experienced Machine Learning engineer to join the team. The ideal candidate will have a passion for Machine Learning, building distributed web scale systems and partnering with a variety of stakeholders within our expansive organization.
What's in it for you
As a senior engineer on the Search and Personalization team, you will play a key role in expanding Bloomberg Media’s investment in personalization. You’ll work closely with product managers, data scientists, and machine learning engineers to design and build systems that power personalized discovery experiences for millions of users.
You’ll have ownership over impactful projects, from shaping technical direction to delivering production systems. The role offers a mix of backend, data, and potentially some frontend work, giving you the opportunity to influence the personalization models that deliver results to users. You’ll be working on systems that are central to Bloomberg Media’s growth and directly visible to a global audience.
We’ll trust you to
-
Lead the design and delivery of personalization and recommendation systems that power discovery across Bloomberg.com and mobile platforms.
-
Build and maintain data pipelines that support personalization, experimentation, and model-driven product experiences.
-
Design, develop, and evolve backend services and APIs that deliver personalized content at scale with low latency.
-
Partner closely with the data science team to productionize models and enable rapid experimentation.
-
Collaborate across the stack, including with frontend engineers, to deliver cohesive and high-quality user experiences.
-
Make architectural decisions, drive technical discussions, and help set technical direction for the personalization platform.
-
Mentor other engineers and raise the overall technical bar of the team.
You need to have
-
5+ years of industry experience in an Object Oriented Programming language, preferably Python or Java
-
5+ years of industry experience working with large data sets, performing machine learning model experimentation, implementation and deployment.
-
A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.
We’d love to see
-
Exposure building and developing a content recommendation system, focusing on recommendation algorithms and machine learning capabilities
-
Familiarity building user behavioral models to predict users likelihood to perform high value actions like propensity to subscribe or churn
-
Experience with end-to-end machine learning projects, including data analysis, feature engineering, model selection, hyper-parameter tuning, model deployment and ongoing performance monitoring.
-
Hands-on expertise with big data systems and distributed data processing technologies such as Spark
-
Proven track record building and maintaining data pipelines that power customer-facing product features.
-
Demonstrated leadership delivering machine learning projects from inception through delivery.
-
Practical expertise with public cloud platforms such as AWS.
-
Proven ability to operate and evolve web-scale distributed systems in production.
COMPENSATION
- Salary Range: 165000 - 260000 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.
INTRODUCTION
Applied Machine Learning Engineer - Media Search and Recommendation
Location
New York
Business Area
Engineering and CTO
Ref #
10049313
Description & Requirements
Our Team
Bloomberg Media empowers global business leaders with breaking news, expert opinion and proprietary data distributed with global reach. With millions of unique visitors each month, our flagship website bloomberg.com is the go-to destination for those looking to stay ahead of the curve. As one of the top 10 most visited financial and news sites on the web, we take pride in delivering top-quality content that our audience can trust.
The Search and Personalization team owns the core discovery experiences on Bloomberg.com and the Bloomberg mobile app. We are responsible for how users search for, discover, and engage with content across a global audience, with a strong focus on personalization and recommendations. By powering Bloomberg’s discovery hub, we play a critical role in helping users find the content that matters most to them, ensuring experiences are relevant, timely, and high quality. Our systems operate at web scale and sit at the intersection of backend services, data pipelines, and user-facing experiences. We are looking for a dedicated and experienced Machine Learning engineer to join the team. The ideal candidate will have a passion for Machine Learning, building distributed web scale systems and partnering with a variety of stakeholders within our expansive organization.
What's in it for you
As a senior engineer on the Search and Personalization team, you will play a key role in expanding Bloomberg Media’s investment in personalization. You’ll work closely with product managers, data scientists, and machine learning engineers to design and build systems that power personalized discovery experiences for millions of users.
You’ll have ownership over impactful projects, from shaping technical direction to delivering production systems. The role offers a mix of backend, data, and potentially some frontend work, giving you the opportunity to influence the personalization models that deliver results to users. You’ll be working on systems that are central to Bloomberg Media’s growth and directly visible to a global audience.
We’ll trust you to
-
Lead the design and delivery of personalization and recommendation systems that power discovery across Bloomberg.com and mobile platforms.
-
Build and maintain data pipelines that support personalization, experimentation, and model-driven product experiences.
-
Design, develop, and evolve backend services and APIs that deliver personalized content at scale with low latency.
-
Partner closely with the data science team to productionize models and enable rapid experimentation.
-
Collaborate across the stack, including with frontend engineers, to deliver cohesive and high-quality user experiences.
-
Make architectural decisions, drive technical discussions, and help set technical direction for the personalization platform.
-
Mentor other engineers and raise the overall technical bar of the team.
You need to have
-
5+ years of industry experience in an Object Oriented Programming language, preferably Python or Java
-
5+ years of industry experience working with large data sets, performing machine learning model experimentation, implementation and deployment.
-
A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.
We’d love to see
-
Exposure building and developing a content recommendation system, focusing on recommendation algorithms and machine learning capabilities
-
Familiarity building user behavioral models to predict users likelihood to perform high value actions like propensity to subscribe or churn
-
Experience with end-to-end machine learning projects, including data analysis, feature engineering, model selection, hyper-parameter tuning, model deployment and ongoing performance monitoring.
-
Hands-on expertise with big data systems and distributed data processing technologies such as Spark
-
Proven track record building and maintaining data pipelines that power customer-facing product features.
-
Demonstrated leadership delivering machine learning projects from inception through delivery.
-
Practical expertise with public cloud platforms such as AWS.
-
Proven ability to operate and evolve web-scale distributed systems in production.
COMPENSATION
- Salary Range: 165000 - 260000 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 56+ Data Engineer at Bloomberg jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer at Bloomberg roles.
Get Access To All JobsTips for Finding Data Engineer Jobs at Bloomberg Jobs
Align your stack with Bloomberg's infrastructure
Bloomberg runs large-scale proprietary data pipelines and real-time market data systems. Highlighting hands-on experience with distributed processing frameworks, time-series data, and low-latency architectures signals direct relevance before your resume reaches a technical screen.
Target roles tied to Bloomberg's engineering verticals
Data Engineer openings at Bloomberg often align with specific business lines: market data, analytics platforms, or financial infrastructure. Applying to roles that match your domain depth, not just your technical skills, improves your chances of clearing the initial filter.
Prepare your credential documentation before offer stage
H-1B and E-3 petitions require official transcripts, degree certificates, and employer verification letters. If your degree is from outside the U.S., get a credential evaluation completed in advance so it's ready when Bloomberg's immigration counsel requests supporting documents.
Understand how PERM affects your long-term sponsorship
Bloomberg sponsors EB-2 and EB-3 Green Cards for Data Engineers, which requires a PERM labor certification filed with DOL. The process can take one to two years before an I-140 petition is filed, so ask your recruiter about the typical timeline during offer negotiation.
Use Migrate Mate to find open Bloomberg roles
Bloomberg's sponsorship-eligible Data Engineer positions aren't always easy to track across job boards. Use Migrate Mate to filter specifically for Bloomberg openings that align with your visa type and technical background, so you're applying to roles with a real sponsorship path.
Data Engineer at Bloomberg jobs are hiring across the US. Find yours.
Find Data Engineer at Bloomberg JobsFrequently Asked Questions
Does Bloomberg sponsor H-1B visas for Data Engineers?
Yes, Bloomberg sponsors H-1B visas for Data Engineer roles. The company participates in the annual H-1B cap lottery, so timing your application to align with the April filing window matters. Bloomberg also sponsors H-1B1 visas for Chilean and Singaporean nationals and E-3 visas for Australian citizens, which bypass the lottery entirely.
How do I apply for Data Engineer jobs at Bloomberg?
You can apply through Bloomberg's careers site or find sponsorship-eligible openings filtered by visa type on Migrate Mate. Bloomberg's hiring process for Data Engineers typically includes a technical phone screen, a coding assessment focused on data structures and systems design, and a final round of interviews covering both engineering depth and domain knowledge in financial data.
Which visa types does Bloomberg commonly use for Data Engineer roles?
Bloomberg sponsors H-1B, H-1B1, and E-3 visas for nonimmigrant work authorization, along with EB-2 and EB-3 immigrant visa pathways for permanent residence. Australian citizens are well-positioned here since the E-3 carries a separate annual allocation that has never been exhausted, making it a more predictable path than the H-1B lottery.
What qualifications does Bloomberg expect for Data Engineer roles?
Bloomberg's Data Engineer roles typically require a bachelor's degree or higher in computer science, engineering, or a related technical field, which satisfies the specialty occupation standard required for H-1B and E-3 petitions. Beyond the degree, Bloomberg looks for experience with distributed systems, data pipeline design, and ideally some exposure to financial data or high-throughput, low-latency environments.
How do I plan my timeline if Bloomberg is sponsoring my visa?
If you need an H-1B, the cap filing window opens in March for an October 1 start date, so offers extended after April typically push your start to the following fiscal year. E-3 and H-1B1 applicants have more flexibility since those visas aren't subject to the annual cap. For Green Card sponsorship through PERM, expect the DOL certification and subsequent I-140 filing to run in parallel with your employment, often starting after your first year.
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