Senior Data Science Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's senior data science engineer market is anchored by Research Triangle Park, one of the densest concentrations of tech and life sciences employers in the Southeast. Companies like SAS Institute, Red Hat, Lenovo, and Bank of America's Charlotte operations regularly hire for senior data science engineering roles and have established visa sponsorship programs for international candidates.
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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
We Are
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.
Join us and help build the data platforms that enable better business decisions across a global technology leader.
The Opportunity
Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.
In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.
Key Responsibilities
- Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
- Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
- Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
- Build and optimize semantic models within Power BI to enable trusted and performant reporting.
- Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
- Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
- Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
- Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.
The Impact You Will Have
You will:
- Deliver reliable and scalable data solutions that support enterprise decision-making.
- Increase trust and accessibility of business-critical data assets.
- Enable faster insights through modern analytics and reporting platforms.
- Improve stakeholder productivity through effective dashboards and self-service analytics.
- Support business initiatives by transforming raw data into meaningful information and actionable outcomes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
- 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
Technical Expertise
Strong hands-on experience with:
- Snowflake
- dbt
- Fivetran
- Power BI
- SQL (expert-level proficiency)
Strong experience with:
- Dimensional modeling
- Semantic modeling
- Data modeling best practices
- Data warehouse concepts and architecture
Additional experience:
- Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
- Building Power BI semantic models and developing DAX measures.
- Creating reports, dashboards, and visual analytics solutions.
- Working with stakeholders to translate business requirements into scalable technical solutions.
Who You Are
- A hands-on data professional who enjoys solving complex analytics and data integration challenges.
- A strong problem solver with a focus on building scalable and maintainable solutions.
- An effective communicator who can bridge business and technical requirements.
- A collaborative team player who thrives in cross-functional environments.
- Detail-oriented and committed to delivering high-quality solutions.
- Curious and passionate about modern data technologies and best practices.
- Results-driven and focused on delivering measurable business value through data.
The Team
You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.
Rewards and Benefits
Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.
Senior Data Science Engineer Job Roles in North Carolina
See all 102+ Senior Data Science Engineer Jobs in North Carolina
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Search Senior Data Science Engineer Jobs in North CarolinaSenior Data Science Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for senior data science engineers in North Carolina?
SAS Institute in Cary is one of the most active sponsors for data science engineering talent in North Carolina, given its analytics-focused product line. Red Hat, Lenovo's North American headquarters in Morrisville, Fidelity Investments, and Bank of America in Charlotte also have documented H-1B visa sponsorship histories for senior data science engineering roles. Life sciences firms like Biogen and IQVIA, both with Triangle-area operations, hire senior data science engineers for clinical and research analytics work.
Which visa types are most common for senior data science engineer roles in North Carolina?
The H-1B is the most common visa for senior data science engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's degree may benefit from the advanced degree exemption during the H-1B lottery. Those with extraordinary research contributions may also explore the O-1A category. Canadians and Mexicans may qualify for TN visa status under the mathematician or computer systems analyst category, depending on role classification.
Which cities in North Carolina have the most senior data science engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, Cary, and Chapel Hill, accounts for the largest share of senior data science engineer sponsorship activity in North Carolina. This concentration reflects the presence of major tech employers, university research partnerships with NC State, Duke, and UNC, and a dense biotech and pharma sector. Charlotte is the second-largest hub, driven by financial services firms that build data science teams for risk modeling, fraud detection, and customer analytics.
How to find senior data science engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters senior data science engineer jobs in North Carolina specifically by visa sponsorship eligibility, so you're not sorting through postings from employers who don't sponsor. The platform is particularly useful for identifying roles at Research Triangle Park companies and Charlotte-based financial services firms, which represent the two main hiring centers for this role in the state. Search by job title and state to see current openings with sponsorship confirmed.
Are there any North Carolina-specific considerations for senior data science engineers seeking visa sponsorship?
North Carolina's concentration of research universities, including NC State, Duke, and UNC Chapel Hill, creates a strong local pipeline of data science talent, which means employer expectations for senior-level candidates are high. Roles tied to life sciences or pharmaceutical research in the Triangle may involve additional compliance considerations around data handling. Employers filing H-1B petitions must meet prevailing wage requirements set by the Department of Labor for the specific metro area, and Raleigh-Durham and Charlotte are classified separately, so wage levels differ between those markets.
What is the prevailing wage for sponsored senior data science engineer jobs in North 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.