Data Science Engineer Visa Sponsorship Jobs in New Jersey
Data science engineer visa sponsorship jobs in New Jersey are concentrated along the Route 1 corridor and the Newark-Jersey City metro, where financial services firms like Prudential and Johnson Controls, pharma companies like Johnson & Johnson and Merck, and tech-forward employers actively file H-1B visa petitions for roles combining machine learning, data pipeline engineering, and advanced analytics.
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Get Access To All JobsAbout the Role:
Grade Level (for internal use):
11
The Team
We are a global but tight-knit team driven by collaboration and enablement, focused on building scalable, enterprise-grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end-user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.
Responsibilities and Impact
- Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines
- Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
- Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
- Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
- Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
- Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
- Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
- Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows
What We’re Looking For:
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience
- 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
- Hands-on experience with advanced Databricks features, including Delta Lake, MLflow, and Databricks SQL for end-to-end data and ML pipeline management
- Strong technical background with hands-on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
- Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
- Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
- Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
- Demonstrated ability to translate business requirements into technical product specifications while working closely with cross-functional engineering teams
Preferred Qualifications
- Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
- Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
- Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
- Experience leading cross-functional teams and managing vendor or partner relationships within complex technical ecosystems
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $100,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
About S& P Global Energy
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an
About the Role:
Grade Level (for internal use):
11
The Team
We are a global but tight-knit team driven by collaboration and enablement, focused on building scalable, enterprise-grade platforms, services, and common capabilities that drive wins across our entire division. Our team values collaboration, end-user empathy, hard work, and honesty—creating an environment where innovative solutions can flourish and make a meaningful impact at scale.
Responsibilities and Impact
- Drive product strategy and roadmap for critical data infrastructure components, including data onboarding, storage solutions, and core platform engines
- Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions that enable enterprise-scale analytics
- Own product vision for disaster recovery and resiliency frameworks to ensure platform reliability and business continuity
- Define and execute an ontology integration strategy to enhance knowledge management excellence and semantic data capabilities
- Collaborate with engineering teams to implement MLOps practices for machine learning operations and model lifecycle management
- Develop and maintain an innersource ecosystem strategy to enable cross-team collaboration on core platform capabilities within defined governance guardrails
- Partner with stakeholders to define requirements for common data pipeline capabilities and shared tooling that data engineering teams utilize when building enterprise data workflows
- Champion data quality initiatives and drive technical implementation of data quality tools and monitoring solutions that ensure accuracy and consistency across all data processing workflows
What We’re Looking For:
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field, or equivalent professional experience
- 8+ years of product management experience focused on data platforms, analytics infrastructure, or enterprise data solutions
- Hands-on experience with advanced Databricks features, including Delta Lake, MLflow, and Databricks SQL for end-to-end data and ML pipeline management
- Strong technical background with hands-on experience in data engineering technologies such as Apache Spark, Kafka, Airflow, or similar distributed processing frameworks
- Proven experience with cloud data platforms, including AWS, Azure, or Google Cloud Platform
- Understanding of Machine Learning Operations (MLOps) processes, including model deployment, monitoring, and lifecycle management
- Strong knowledge of standard Software Development Life Cycle (SDLC) methodologies, including Agile, Scrum, and DevOps practices
- Demonstrated ability to translate business requirements into technical product specifications while working closely with cross-functional engineering teams
Preferred Qualifications
- Advanced degree (MBA, MS in Computer Science, Data Science, or related field)
- Experience with data governance frameworks and regulatory compliance requirements in enterprise environments
- Background in financial services, fintech, or other regulated industries with a strong understanding of data privacy and security requirements
- Experience leading cross-functional teams and managing vendor or partner relationships within complex technical ecosystems
Compensation/Benefits Information: (This section is only applicable to US candidates)
S&P Global states that the anticipated base salary range for this position is $100,000 to $149,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
About S& P Global Energy
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.
S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an
Data Science Engineer Job Roles in New Jersey
See all 294+ Data Science Engineer Jobs in New Jersey
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Search Data Science Engineer Jobs in New JerseyData Science Engineer Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for data science engineers in New Jersey?
New Jersey's largest H-1B sponsors for data science engineering roles include Johnson & Johnson, Merck, Prudential Financial, Cognizant, and Tata Consultancy Services. Consulting and IT services firms with major New Jersey offices file a significant share of petitions, alongside pharma and financial services employers concentrated in the Princeton, Parsippany, and Iselin corridors. Large employers in these industries have established legal and HR infrastructure for sponsorship.
Which visa types are most common for data science engineer roles in New Jersey?
The H-1B is the most common visa for data science engineers in New Jersey, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates from India and China often rely on H-1B and may later file EB-2 or EB-3 immigrant visa petitions. Australians may qualify for the E-3 visa, and Canadians or Mexicans may qualify under TN visa status in qualifying specialty categories.
Which cities in New Jersey have the most data science engineer sponsorship jobs?
Jersey City and Newark lead in volume, largely due to financial services firms with Manhattan-adjacent operations. Princeton and the surrounding Mercer County area concentrate pharma and biotech employers. Parsippany-Troy Hills and Bridgewater attract large corporate headquarters. Iselin and Edison, in Middlesex County, are notable for IT services firms that regularly sponsor data science and data engineering roles for international workers.
How to find data science engineer visa sponsorship jobs in New Jersey?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search for data science engineer roles in New Jersey without sorting through positions that don't offer sponsorship. The platform surfaces openings from employers with documented H-1B filing histories in New Jersey, which is particularly useful given how spread out sponsoring employers are across the Route 1 corridor, Mercer County, and the Newark metro.
Are there any New Jersey-specific factors that affect visa sponsorship for data science engineers?
New Jersey's prevailing wage requirements for H-1B petitions are benchmarked to the Newark-Jersey City and Trenton metropolitan statistical areas, which reflect competitive compensation expectations in financial services and pharma. Rutgers University and NJIT produce a steady pipeline of candidates who transition from F-1 OPT into sponsored positions, meaning New Jersey employers are generally familiar with the sponsorship process for this role category. Industry sector matters: pharma and finance employers here tend to have more established sponsorship workflows than smaller tech startups.
What is the prevailing wage for sponsored data science engineer 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.