Senior Data Science Engineer Visa Sponsorship Jobs in South Carolina
South Carolina's senior data science engineer job market is anchored by financial services firms in Charlotte's cross-border corridor, advanced manufacturing companies like BMW and Michelin, and research institutions tied to Clemson University and the Medical University of South Carolina. Columbia, Greenville, and Charleston are the primary hiring hubs for visa-sponsored roles in this field.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
BASIC QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Solution Development & Delivery
- Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
- Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
- Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
GenAI Engineering Practices
- Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
- Contribute to evaluation suites and regression testing to ensure quality and safety over time.
- Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
Reliability, Observability & Support
- Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
- Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
- Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
Collaboration & Continuous Improvement
- Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
- Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
- Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.
BASIC QUALIFICATIONS
- 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
- 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
- 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
PREFERRED QUALIFICATIONS
- Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
- Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
- Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
- Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
- Effective collaboration and communication skills across technical and non-technical stakeholders.
Education
- Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
ANTICIPATED WEEKLY HOURS
40
TIME TYPE
Full time
PAY RANGE
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 04/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Senior Data Science Engineer Job Roles in South Carolina
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Search Senior Data Science Engineer Jobs in South CarolinaSenior Data Science Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in South Carolina?
Financial services firms, advanced manufacturers, and healthcare organizations are the most active sponsors for senior data science engineers in South Carolina. Companies like Synchrony, Michelin North America, BMW Manufacturing, and MUSC Health have histories of filing H-1B Labor Condition Applications for data science roles. Technology consulting firms with South Carolina offices also sponsor regularly, particularly for senior-level positions requiring specialized machine learning or data engineering expertise.
Which visa types are most common for senior data science engineer roles in South Carolina?
The H-1B is the most common visa category for senior data science engineers in South Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some employers also sponsor EB-2 or EB-3 green card petitions for senior engineers they wish to retain long term. Candidates with Canadian or Mexican citizenship may also explore the TN visa under the USMCA for qualifying roles.
Which cities in South Carolina have the most senior data science engineer sponsorship jobs?
Columbia leads in sponsorship activity due to state government agencies, University of South Carolina research affiliates, and a growing technology sector. Greenville is a strong second, driven by the Upstate manufacturing corridor anchored by BMW, Michelin, and a cluster of automotive suppliers with data science needs. Charleston is increasingly active, particularly in fintech, healthcare IT, and logistics analytics tied to the port economy.
How to find senior data science engineer visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for senior data science engineer roles in South Carolina without sifting through positions that won't support international candidates. You can narrow results by city, industry, and seniority level. Because sponsorship status is surfaced upfront, it saves significant time compared to applying broadly and confirming sponsorship eligibility later in the process.
Are there state-specific factors that affect senior data science engineer visa sponsorship in South Carolina?
South Carolina's growing university research pipeline, particularly through Clemson's data science programs and MUSC's biomedical informatics work, has expanded the pool of employers familiar with sponsoring international talent at the senior level. The state's manufacturing base means many data science roles are embedded within operations, supply chain, or quality engineering functions, which can affect how employers classify roles for specialty occupation purposes under H-1B petitions.
What is the prevailing wage for sponsored senior data science engineer jobs in South Carolina?
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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