AI Data Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's AI data engineer job market centers on Charlotte's finance and fintech sector, the Research Triangle's deep tech ecosystem anchored by companies like Red Hat, Lenovo, and SAS Institute, and a growing biotech corridor in the Raleigh-Durham area. Employers across these hubs have an established track record of sponsoring skilled international candidates for technical roles.
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Get Access To All JobsINTRODUCTION
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
What We’re Building
The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.
MAIN JOB FUNCTIONS
- Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.
- Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.
- Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.
- Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.
- Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.
REQUIREMENTS
- Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs. Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.
TECHNICAL EXPERTISE:
- Deep knowledge of GCP, AWS, and multi-cloud ecosystems.
- VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience.
- Experience with AgenticAI frameworks.
- Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.
- Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.
- GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).
- Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.
- Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).
- Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance.
- Preferred: Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).
WHY JOIN US?
- Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology.
- Shape the future of data-driven decision-making for all business units at The Hartford.
- Collaborate with top talent in a culture that values innovation, growth, and technical excellence.
- Enjoy opportunities for professional development, mentorship, and career advancement.
READY TO ARCHITECT THE FUTURE OF AI AND DATA AT THE HARTFORD? Apply now and help us build a platform that will power the entire enterprise!
COMPENSATION
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
- $168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
INTRODUCTION
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
What We’re Building
The Hartford is launching a strategic initiative to build AI-enabled Data Engineering pipeline products—shared services that will empower all data products, domains, and business units. This platform will leverage Google Cloud Platform (GCP) AI tooling to deliver scalable, secure, and innovative data solutions. Our goal is to accelerate developer and data engineer productivity with automation driving enterprise-wide value and operational excellence.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week. Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.
MAIN JOB FUNCTIONS
- Architect the Future: Define and drive the technical vision, architecture, and roadmap for a next-generation, AI-powered data pipeline platform.
- Lead & Inspire: Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
- Hands-On Solutioning: Balance architecture leadership with hands-on prototyping and solution delivery, ensuring robust, cloud-native, and event-driven designs.
- Cross-Functional Collaboration: Work closely with business stakeholders, data scientists, and platform architects to translate business needs into robust technical solutions.
- Promote Best Practices: Embed DevSecOps, DataOps, and agile methodologies into all aspects of platform development and delivery.
- Drive Innovation: Evaluate emerging technologies, conduct workshops and proof-of-concepts, and champion the adoption of Agentic AI frameworks for workflow automation and developer productivity.
REQUIREMENTS
- Experience: 10+ years as a Senior Software/Data Engineer or Software/Data Architect in large-scale, enterprise transformation programs. Proven track record architecting and building scalable, cloud-native solutions using GenAI, machine learning, and advanced analytics along with AgenticAI experience.
TECHNICAL EXPERTISE:
- Deep knowledge of GCP, AWS, and multi-cloud ecosystems.
- VertexAI, Snowflake Cortex AI, Python, Streamlit, React experience.
- Experience with AgenticAI frameworks.
- Proficiency with Infrastructure-as-Code (Terraform, CloudFormation), microservices, API management, and event-driven architectures.
- Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices.
- GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift).
- Leadership: Demonstrated ability to lead, mentor, and inspire technical teams.
- Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect – Professional (preferred).
- Soft Skills: Strategic thinker, excellent communicator, and advocate for ethical AI governance.
- Preferred: Knowledge of the insurance industry and experience with data integration tools (Informatica, Talend), data platforms (Oracle, Snowflake, S3, RDS), and data management (cataloging, lineage, quality, MDM).
WHY JOIN US?
- Lead a high-impact initiative at the intersection of AI, data engineering, and cloud technology.
- Shape the future of data-driven decision-making for all business units at The Hartford.
- Collaborate with top talent in a culture that values innovation, growth, and technical excellence.
- Enjoy opportunities for professional development, mentorship, and career advancement.
READY TO ARCHITECT THE FUTURE OF AI AND DATA AT THE HARTFORD? Apply now and help us build a platform that will power the entire enterprise!
COMPENSATION
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
- $168,400 - $252,600
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
AI Data Engineer Job Roles in North Carolina
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Search AI Data Engineer Jobs in North CarolinaAI Data Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in North Carolina?
Several large employers in North Carolina have consistent H-1B sponsorship histories for data and AI engineering roles. These include SAS Institute in Cary, Red Hat and IBM in the Research Triangle Park area, Lenovo's North American headquarters in Morrisville, Bank of America and Wells Fargo in Charlotte, and Epic Games in Cary. Research Triangle Park-based tech and biotech firms also regularly sponsor international engineers for data-heavy positions.
Which visa types are most common for AI data engineer roles in North Carolina?
The H-1B is by far the most common visa category for AI data engineers in North Carolina, as the role typically requires at least a bachelor's degree in computer science, data science, or a related field, meeting the specialty occupation standard. Candidates with a master's or PhD may have an advantage in the annual lottery due to the advanced degree exemption. Those with exceptional track records may also qualify under the O-1A category.
Which cities in North Carolina have the most AI data engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, Chapel Hill, and surrounding towns like Cary and Morrisville, accounts for the largest concentration of AI data engineer sponsorship opportunities in North Carolina. Charlotte is the second major hub, driven by its financial services sector increasingly investing in AI and data infrastructure. Smaller but growing pockets exist in Greensboro and Winston-Salem as technology adoption expands there.
How to find ai data engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, and filters directly for AI data engineer positions in North Carolina. Rather than sorting through general job listings where sponsorship willingness is unclear, Migrate Mate surfaces employers with documented sponsorship histories in the state. This makes it significantly more efficient for candidates on H-1B, OPT, or other work authorization to identify genuinely open opportunities.
Are there state-specific considerations for AI data engineers pursuing sponsorship in North Carolina?
North Carolina's Research Triangle Park is home to one of the highest concentrations of PhD-level technical talent in the United States, partly due to proximity to UNC Chapel Hill, Duke University, and NC State University. Employers in this region often prefer candidates with advanced degrees, which also carries practical immigration advantages during the H-1B selection process. The state's biotech and fintech sectors are growing demand areas for AI data engineering skill sets specifically.
What is the prevailing wage for sponsored ai data 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.
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