Senior Data Science Engineer Jobs at Bloomberg with Visa Sponsorship
Senior Data Science Engineer jobs at Bloomberg sit at the intersection of large-scale financial data infrastructure and applied machine learning, working on systems that power real-time analytics across global markets. Bloomberg has a consistent track record of sponsoring international talent for this function across multiple visa categories.
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Get Access To All JobsINTRODUCTION
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
Our Team:
The Funds team in Data is responsible for the data management of the Bloomberg public funds data product. We cover hundreds of thousands of funds across every continent of the globe consuming data from thousands of providers and ingesting and normalising this data into a consistent data model. The various datasets represent millions to billions of individually sourced and processed data points every year and is a significant daily operation.
THE ROLE:
The Funds Data team is seeking a motivated and detail-oriented Automation Engineering to help drive our automation efforts. You’ll be responsible for improving automation rates across the product by identifying inefficiencies, applying modern technologies (including AI/ML where appropriate), and building solutions that improve the data quality along the way. As a Data Management Professional, you will help to develop outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We’ll trust you to:
- Analyze and optimize existing workflows, identifying opportunities for automation and scalability
- Perform quarterly reports outlining data profiling and apply statistical methods to support data quality measurements
- Design, build and maintain data pipelines and tools to improve straight-through processing and accuracy
- Evaluate and apply AI/ML/NLP techniques to enhance extraction processes and decision-making
- Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve automation rates and ensure consistency in quality in maintained or improved
- Lead projects globally to improve data quality for a variety of customer types and use cases
- Employ quantitative methods to advise and enhance on decision making capability in business planning, process improvement, and solution management
- Keep up with the industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted & collaborative setting
YOU’LL NEED TO HAVE:
- A BA/BS degree or higher
- 3+ years of Python programming and scripting in a production environment
- Ability to work independently as well as in a distributed team environment
- Exceptional problem-solving skills, numerical proficiency and high attention to detail
- Experience building or maintaining automated workflows, pipelines, or data systems
- Understanding and experience in large-scale distributed systems
- Solid ability to combine technical data science traits with good business insight
- Strong analytical abilities with passion for data and evidence-based decision-making
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
WE’D LOVE TO SEE:
- Knowledge of Funds Data and their uses
- Experience with data visualization or BI tools such as Tableau or Qlik Sense
- Understanding of Machine Learning, applied statistics and data analytics
If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
COMPENSATION
- Salary Range: 110,000 - 190,000 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.
Accommodations
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
Equal Opportunity
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
INTRODUCTION
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
Our Team:
The Funds team in Data is responsible for the data management of the Bloomberg public funds data product. We cover hundreds of thousands of funds across every continent of the globe consuming data from thousands of providers and ingesting and normalising this data into a consistent data model. The various datasets represent millions to billions of individually sourced and processed data points every year and is a significant daily operation.
THE ROLE:
The Funds Data team is seeking a motivated and detail-oriented Automation Engineering to help drive our automation efforts. You’ll be responsible for improving automation rates across the product by identifying inefficiencies, applying modern technologies (including AI/ML where appropriate), and building solutions that improve the data quality along the way. As a Data Management Professional, you will help to develop outcome-based data strategies to optimize the value of data for our customers and improve data operations.
We’ll trust you to:
- Analyze and optimize existing workflows, identifying opportunities for automation and scalability
- Perform quarterly reports outlining data profiling and apply statistical methods to support data quality measurements
- Design, build and maintain data pipelines and tools to improve straight-through processing and accuracy
- Evaluate and apply AI/ML/NLP techniques to enhance extraction processes and decision-making
- Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve automation rates and ensure consistency in quality in maintained or improved
- Lead projects globally to improve data quality for a variety of customer types and use cases
- Employ quantitative methods to advise and enhance on decision making capability in business planning, process improvement, and solution management
- Keep up with the industry trends, standards, and innovation in the data quality domain
- Work in a fast paced, multifaceted & collaborative setting
YOU’LL NEED TO HAVE:
- A BA/BS degree or higher
- 3+ years of Python programming and scripting in a production environment
- Ability to work independently as well as in a distributed team environment
- Exceptional problem-solving skills, numerical proficiency and high attention to detail
- Experience building or maintaining automated workflows, pipelines, or data systems
- Understanding and experience in large-scale distributed systems
- Solid ability to combine technical data science traits with good business insight
- Strong analytical abilities with passion for data and evidence-based decision-making
- Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management
WE’D LOVE TO SEE:
- Knowledge of Funds Data and their uses
- Experience with data visualization or BI tools such as Tableau or Qlik Sense
- Understanding of Machine Learning, applied statistics and data analytics
If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
COMPENSATION
- Salary Range: 110,000 - 190,000 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.
Accommodations
Bloomberg provides reasonable adjustment/accommodation to individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format or using specialized equipment. To request an adjustment/accommodation to apply for a job, please email AMER_recruit@bloomberg.net (Americas), EMEA_recruit@bloomberg.net (Europe, the Middle East and Africa), or APAC_recruit@bloomberg.net (Asia-Pacific), based on the region you are submitting an application for. We may share your information with a third party provider of accommodations services who may use this information to reach out to you for the purposes of accommodating your application.
Equal Opportunity
Bloomberg is an equal opportunity employer and prohibits discrimination in employment. It is Bloomberg’s policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, self-identified or perceived sex, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy, childbirth or related medical conditions, or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law (each, a “Protected Characteristic”). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics.
See all Senior Data Science Engineer Jobs at Bloomberg
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Get Access To All JobsTips for Finding Senior Data Science Engineer Jobs at Bloomberg
Align your portfolio to Bloomberg's data scale
Bloomberg's data engineering roles prioritize distributed systems experience at financial-data scale. Before applying, build out projects or documentation showing you've handled high-throughput, low-latency pipelines, not just standard ML workflows on clean datasets.
Target teams filing Labor Condition Applications early
Bloomberg's H-1B filings go through DOL's LCA process before USCIS submission. Roles posted in late fall often align with cap-season timelines, so applying between October and January puts you ahead of internal sponsorship planning cycles.
Clarify your visa category before the offer stage
Bloomberg sponsors H-1B, H-1B1 visa, E-3, and Green Card pathways. If you're Australian or a Chilean or Singaporean national, ask your recruiter whether an H-1B1 or E-3 track is available, since these skip the lottery entirely.
Prepare a degree equivalency analysis for your credentials
Bloomberg's specialty occupation filings require a direct nexus between your degree field and the role. If your degree is in a tangential field like physics or statistics rather than computer science, get a credential evaluation done before your final interview round.
Use Migrate Mate to find open Senior Data Science Engineer roles at Bloomberg
Sponsorship-eligible roles at Bloomberg aren't always labeled clearly on general job boards. Search Migrate Mate to filter specifically for Senior Data Science Engineer positions at Bloomberg that are open to visa sponsorship, saving you time spent on dead ends.
Negotiate your start date around USCIS processing windows
If you're filing a cap-subject H-1B, the earliest your employment can begin is October 1. Build this into your offer negotiation with your Bloomberg recruiter so your proposed start date is realistic and doesn't require premium processing as a last resort.
Frequently Asked Questions
Does Bloomberg sponsor H-1B visas for Senior Data Science Engineers?
Yes, Bloomberg sponsors H-1B visas for Senior Data Science Engineer roles. The process involves Bloomberg filing a Labor Condition Application with DOL and then submitting a petition to USCIS on your behalf. For cap-subject H-1B cases, sponsorship is contingent on lottery selection, so Bloomberg typically initiates the process well ahead of the April registration window.
How do I apply for Senior Data Science Engineer jobs at Bloomberg?
Applications go through Bloomberg's careers portal, but finding roles that explicitly support visa sponsorship can take extra filtering. Migrate Mate lets you browse Senior Data Science Engineer openings at Bloomberg that are open to international candidates, so you can identify the right positions before investing time in a full application. Expect a multi-stage technical process covering distributed systems, data modeling, and applied ML.
Which visa types does Bloomberg commonly use for Senior Data Science Engineers?
Bloomberg sponsors H-1B, H-1B1 visa, E-3 visa, and employment-based Green Card pathways including EB-2 and EB-3. H-1B is the most common route for most nationalities. Australian citizens can pursue the E-3 visa, which has no lottery. Chilean and Singaporean nationals may qualify for the H-1B1. Green Card sponsorship typically follows a period of employment and is initiated by Bloomberg through the PERM labor certification process.
What qualifications does Bloomberg expect for Senior Data Science Engineer roles?
Bloomberg generally looks for graduate-level education in computer science, engineering, mathematics, or a closely related quantitative field, combined with substantial industry experience in large-scale data systems. For visa purposes, the role must qualify as a specialty occupation under USCIS standards, meaning a direct relationship between your degree field and the position is required. Practical experience with real-time data pipelines and financial data systems is a strong differentiator.
How long does the visa sponsorship process take when joining Bloomberg as a Senior Data Science Engineer?
For cap-subject H-1B cases, the timeline runs from the March lottery registration through an October 1 start date at the earliest. E-3 and H-1B1 visa filings move faster since they bypass the lottery, often completing consular processing within four to eight weeks. USCIS premium processing, if Bloomberg elects to use it, can reduce adjudication time to roughly 15 business days once the petition is filed.