Senior Principal Data Engineer Jobs in USA with Visa Sponsorship
Senior Principal Data Engineers consistently rank among the most sponsored roles in the U.S. Employers filing H-1B visa and O-1 visa petitions for this title cite computer science, information systems, and engineering degrees as the standard qualification. Most roles require at least a master's degree and significant architectural experience. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development (PD). We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.
THE OPPORTUNITY
The Principal Data Innovation Specialist (RWD) helps identify, prototype, and scale novel methods and technologies that transform how data is used across product development. Reporting to the Data Innovation Lead, you will explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data. You will collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility. This role requires curiosity, strong technical grounding, and a mindset oriented toward experimentation and continuous learning.
- Multi-Agent & AI Development: Prototype, validate, and scale advanced AI capabilities, focusing heavily on multi-agent development and orchestration architectures to unlock complex use cases across product development.
- Core Data Engineering: Lead robust data engineering activities to design, optimize, and streamline data workflows, building scalable data pipelines that integrate unstructured, multi-modal, and unconventional data sources.
- Analytical Project Leadership: Drive innovation activities and lead complex analytical projects focused on exploring novel data types, automated agent-driven workflows, and knowledge graph integrations in a multi-modal environment.
- Cross-Functional Collaboration: Partner with scientists, engineers, and product teams to pilot data innovations, integrating advanced engineering pipelines and multi-agent frameworks into broader clinical development and data science workflows.
- Platform & Tool Creation: Drive the development of low-/no-code analytics platforms to democratize multi-modal data access and establish frameworks for the scalable evaluation, productization, and reuse of experimental data approaches.
- Subject Matter Expertise & Mentorship: Serve as an innovation methodology expert, guiding peers through new data modalities while mentoring junior team members on cutting-edge techniques, data tools, and agent architectures.
- Compliance & Data Governance: Proactively identify innovation areas via research while ensuring all engineering and AI frameworks maintain absolute compliance with data privacy and security regulations like HIPAA and GDPR.
WHO YOU ARE
- Educational & Professional Foundation: You hold a Master’s or PhD in Computer Science, Engineering, Data Science, or a related field, with 6+ years of experience across data engineering, data science, or healthcare innovation settings.
- AI & Agent Architecture Expertise: You demonstrate proven success implementing innovation pilots, with deep practical experience in AI-driven analytics, multi-agent architectures, and the application of engineering frameworks in complex research or industry environments.
- Methodological Frameworks: You are highly proficient with agile development, product-thinking, and innovation lifecycle frameworks (such as Lean Startup or Design Thinking), alongside experience evaluating new data platforms, APIs, or data partnerships.
- Strategic & Independent Agility: You possess exceptional critical thinking, problem-solving skills, and independent decision-making capabilities that extend across both technical engineering domains and broader strategic areas.
- Global Communication & Collaboration: You have excellent presentation and communication skills to explain complex technical concepts simply, thrive in a culturally diverse global workplace, and actively contribute to internal or external biomedical innovation communities.
PREFERRED:
- Exposure to real-world data or research informatics in a biomedical setting
- Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI
- Ability to summarize results for both technical and non-technical audiences
Relocation benefits are not available for this posting.
COMPENSATION
- Salary Range: $140,900.00 - $261,700.00 USD Annual
Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
INTRODUCTION
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development (PD). We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development.
THE OPPORTUNITY
The Principal Data Innovation Specialist (RWD) helps identify, prototype, and scale novel methods and technologies that transform how data is used across product development. Reporting to the Data Innovation Lead, you will explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data. You will collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility. This role requires curiosity, strong technical grounding, and a mindset oriented toward experimentation and continuous learning.
- Multi-Agent & AI Development: Prototype, validate, and scale advanced AI capabilities, focusing heavily on multi-agent development and orchestration architectures to unlock complex use cases across product development.
- Core Data Engineering: Lead robust data engineering activities to design, optimize, and streamline data workflows, building scalable data pipelines that integrate unstructured, multi-modal, and unconventional data sources.
- Analytical Project Leadership: Drive innovation activities and lead complex analytical projects focused on exploring novel data types, automated agent-driven workflows, and knowledge graph integrations in a multi-modal environment.
- Cross-Functional Collaboration: Partner with scientists, engineers, and product teams to pilot data innovations, integrating advanced engineering pipelines and multi-agent frameworks into broader clinical development and data science workflows.
- Platform & Tool Creation: Drive the development of low-/no-code analytics platforms to democratize multi-modal data access and establish frameworks for the scalable evaluation, productization, and reuse of experimental data approaches.
- Subject Matter Expertise & Mentorship: Serve as an innovation methodology expert, guiding peers through new data modalities while mentoring junior team members on cutting-edge techniques, data tools, and agent architectures.
- Compliance & Data Governance: Proactively identify innovation areas via research while ensuring all engineering and AI frameworks maintain absolute compliance with data privacy and security regulations like HIPAA and GDPR.
WHO YOU ARE
- Educational & Professional Foundation: You hold a Master’s or PhD in Computer Science, Engineering, Data Science, or a related field, with 6+ years of experience across data engineering, data science, or healthcare innovation settings.
- AI & Agent Architecture Expertise: You demonstrate proven success implementing innovation pilots, with deep practical experience in AI-driven analytics, multi-agent architectures, and the application of engineering frameworks in complex research or industry environments.
- Methodological Frameworks: You are highly proficient with agile development, product-thinking, and innovation lifecycle frameworks (such as Lean Startup or Design Thinking), alongside experience evaluating new data platforms, APIs, or data partnerships.
- Strategic & Independent Agility: You possess exceptional critical thinking, problem-solving skills, and independent decision-making capabilities that extend across both technical engineering domains and broader strategic areas.
- Global Communication & Collaboration: You have excellent presentation and communication skills to explain complex technical concepts simply, thrive in a culturally diverse global workplace, and actively contribute to internal or external biomedical innovation communities.
PREFERRED:
- Exposure to real-world data or research informatics in a biomedical setting
- Interest in emerging technologies such as machine learning, knowledge graphs, or clinical AI
- Ability to summarize results for both technical and non-technical audiences
Relocation benefits are not available for this posting.
COMPENSATION
- Salary Range: $140,900.00 - $261,700.00 USD Annual
Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Principal Data Engineer
Target companies with established H-1B filing histories
Large tech, finance, and healthcare companies file H-1B petitions for data engineering roles at senior principal level regularly. Filtering for employers with repeat sponsorship records significantly improves your odds of a smooth, well-resourced process.
Lead with architectural scope, not just technical skills
USCIS expects specialty occupation evidence for senior principal roles. Emphasize system design leadership, cross-functional ownership, and enterprise-scale impact in your resume to strengthen the employer's H-1B petition supporting documentation.
Clarify your degree field early in conversations
H-1B specialty occupation requires a degree in a directly related field. Computer science, data engineering, and applied mathematics typically qualify. Flag any non-standard degree early so the employer's immigration counsel can assess the case before an offer is extended.
Understand how cap-exempt employers change your timeline
Universities, research nonprofits, and certain government-affiliated entities are H-1B cap-exempt. Senior principal roles at these organizations can be filed any time of year without lottery exposure, which matters if you missed the annual registration window.
Consider O-1A if you have a strong public profile
Senior principal engineers with published research, conference presentations, or documented industry recognition may qualify for the O-1A extraordinary ability visa. It bypasses the lottery entirely and can be filed while simultaneously pursuing H-1B options.
Get the LCA certified before negotiating a start date
Your employer must file a Labor Condition Application with the Department of Labor before submitting the H-1B petition. LCA certification typically takes seven business days. Factor this into your expected start date to avoid committing to an unrealistic timeline.
Frequently Asked Questions
Is Senior Principal Data Engineer a qualifying specialty occupation for the H-1B visa?
Yes, Senior Principal Data Engineer consistently qualifies as a specialty occupation under H-1B visa standards. USCIS looks for a direct relationship between the role's duties and a specific degree field. Roles involving distributed system architecture, data pipeline design, and technical leadership across engineering teams typically meet the requirement when paired with a degree in computer science, information systems, or a closely related discipline.
Does my degree field affect H-1B approval odds for this role?
It matters more than most candidates expect. USCIS requires that the bachelor's degree or higher be in a specific specialty directly related to the job. Computer science, data engineering, electrical engineering, and applied mathematics are the strongest fits. Degrees in unrelated fields, even combined with years of experience, can lead to a Request for Evidence or denial unless the employer builds a detailed supporting argument.
How competitive is H-1B sponsorship for Senior Principal Data Engineers compared to other roles?
Senior principal roles attract sponsorship from employers who are already comfortable with the H-1B process, which reduces the friction compared to smaller or less experienced sponsors. The H-1B lottery remains the main bottleneck: USCIS received over 470,000 registrations for FY2026 against an 85,000-slot cap. Seniority helps because employers are more willing to invest in premium processing and legal fees for senior hires.
Can I find Senior Principal Data Engineer roles with visa sponsorship on Migrate Mate?
Yes. Migrate Mate's job board filters specifically for roles open to visa sponsorship, including H-1B, O-1, and green card pathways. Senior principal data engineering positions from employers with verified sponsorship histories appear regularly. Searching by role and filtering by visa type is the fastest way to identify employers actively filing for this job title.
What happens to my H-1B status if I'm laid off while working as a Senior Principal Data Engineer?
You have a 60-day grace period from your last day of employment to find a new sponsoring employer, change to another valid visa status, or depart the U.S. Your new employer must file a new H-1B petition, though cap-exempt portability rules may apply if your original petition was already approved. Acting quickly is critical since the 60-day window does not reset between consecutive layoffs.
What is the prevailing wage requirement for sponsored Senior Principal Data Engineer jobs?
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.