Data And Analytics Jobs in USA with Visa Sponsorship
Data and analytics roles rank among the most H-1B-sponsored job categories in the U.S., with employers across finance, tech, and healthcare filing thousands of petitions annually. Strong degree alignment in statistics, computer science, or a related quantitative field is typically required for sponsorship. For detailed occupation requirements, see the O*NET profile.
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Application deadline: Mar 23, 2026
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years experience in cloud architecture, designing and implementing cloud solutions
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience
- Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark, Python, and/or Scala to implement data lake architectures
- Experience of working with healthcare and life sciences data (e.g. EHR, HL7/FHIR, insurance claims, genomics, medical imaging, etc)
PREFERRED QUALIFICATIONS
- Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Expertise in performance optimization and cost management for cloud environments
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences as part of pre-sales motion
- 3+ years of experience in designing and implementing large scale Data Lake and Data Warehouse in the cloud
- Knowledge of AI/ML concepts and practical applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.
Colorado $131,300 - $177,600 annually
National $118,200 - $204,300 annually
DESCRIPTION
Application deadline: Mar 23, 2026
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ years experience in cloud architecture, designing and implementing cloud solutions
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, CI/CD automation, build processes, testing, and operations experience
- Hands-on experience in developing scalable, high-performance data ingestion and engineering pipelines, performing complex data transformations across large datasets using Apache Spark, Python, and/or Scala to implement data lake architectures
- Experience of working with healthcare and life sciences data (e.g. EHR, HL7/FHIR, insurance claims, genomics, medical imaging, etc)
PREFERRED QUALIFICATIONS
- Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Deep understanding of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Expertise in performance optimization and cost management for cloud environments
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences as part of pre-sales motion
- 3+ years of experience in designing and implementing large scale Data Lake and Data Warehouse in the cloud
- Knowledge of AI/ML concepts and practical applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits/us-benefits-and-stock.
Colorado $131,300 - $177,600 annually
National $118,200 - $204,300 annually
How to Get Visa Sponsorship in Data And Analytics
Lead with your technical stack
Employers sponsoring data and analytics roles want to see specific tools upfront. List Python, SQL, R, Spark, or Tableau prominently on your resume. Vague descriptions of 'data work' make sponsorship harder to justify internally.
Target industries with high sponsorship volume
Finance, healthcare, and enterprise tech sponsor data roles at far higher rates than most industries. Companies with large data infrastructure investments are more likely to have established visa sponsorship processes already in place.
Align your degree field to the job posting
H-1B specialty occupation requires your degree field to match the role. Statistics, mathematics, computer science, and information systems all support strong petitions. A business degree alone may not be sufficient for senior analytics roles.
Pursue roles with clear specialty occupation footing
Job titles like Data Scientist, Machine Learning Engineer, and Quantitative Analyst have well-established H-1B approval histories. Avoid applying to broadly defined analyst roles where degree requirements are listed as preferred rather than required.
Apply to larger employers first
Companies that file H-1B petitions regularly have internal legal teams and established timelines. For data and analytics candidates, starting with employers who have prior LCA disclosure data for your job title significantly reduces processing friction.
Use Migrate Mate to find sponsorship-ready openings
Migrate Mate curates data and analytics job listings from employers with active sponsorship histories. Filtering by your visa type saves time and connects you directly to roles where the employer already understands the process.
Data And Analytics jobs are hiring across the US. Find yours.
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Get Access To All JobsFrequently Asked Questions
Which data and analytics job titles get sponsored most often?
Data Scientist, Data Engineer, Machine Learning Engineer, and Business Intelligence Engineer see the highest H-1B sponsorship volumes. These titles have clear degree requirements and well-established specialty occupation histories at USCIS. Generalist titles like 'Data Analyst' can qualify but face more scrutiny, particularly when job postings list a degree as preferred rather than required.
Does my degree field matter for H-1B sponsorship in data and analytics?
Yes, and it matters significantly. USCIS requires a direct relationship between your degree field and the job duties. Degrees in statistics, mathematics, computer science, data science, or information systems provide the strongest foundation. A general business or liberal arts degree is unlikely to support a data science petition without substantial additional evidence of specialized training.
Are data and analytics roles hard to get sponsored for compared to software engineering?
Approval rates for data science and engineering roles are comparable to software engineering because both categories rest on the same specialty occupation framework. The risk is in how the job is defined. Roles with vague duties or interchangeable degree requirements draw more RFEs. Well-scoped postings requiring a specific quantitative degree in a specific field process more cleanly.
Can I get sponsored for a data analytics role if I studied outside the U.S.?
Yes. USCIS accepts foreign degrees, but they must be evaluated for U.S. equivalency by a credential evaluation service. A three-year bachelor's degree from certain countries may or may not be accepted as equivalent to a U.S. four-year degree depending on the evaluator's assessment and the employer's immigration counsel. Your petition is only as strong as that equivalency determination.
Where can I find data and analytics jobs that sponsor visas?
Migrate Mate lists data and analytics roles specifically filtered for visa sponsorship eligibility. Rather than sorting through thousands of general postings, Migrate Mate surfaces employers with active sponsorship histories so you can focus your applications on companies that are already set up to hire international candidates.
What is the prevailing wage requirement for sponsored Data And Analytics 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.
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