Big Data Engineer Visa Sponsorship Jobs in North Carolina
Big data engineer visa sponsorship jobs in North Carolina are concentrated around the Research Triangle Park corridor, where employers like Red Hat, Lenovo, and SAS Institute run large-scale data infrastructure teams. Charlotte's growing fintech and banking sector adds further demand. Companies here regularly sponsor H-1B visa and TN visas for engineers with distributed systems and pipeline expertise.
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At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview:
Selective Insurance is seeking an energetic and collaborative Sr. Data Engineer to work on data and analytics projects supporting the Customer Analytics team within the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for the Marketing, Customer Experience and Contact Center business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. The candidate must be hands-on with very good technical skills and a proven track record of project delivery.
Responsibilities:
- Hands on development and support of new or existing data applications.
- Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design.
- Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
- Provide technical guidance to the team for implementing complex data solutions.
- Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
- Maintain detailed documentation to support downstream integrations.
- Provide support for production issues.
- Performs activities of a scrum master.
- Identify technology trends and explore opportunities for use within the organization.
QUALIFICATIONS:
- Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects.
- Ability to effectively work well with people in other departments and/or outside of the enterprise.
- Proficient in SQL.
- Experience working within Azure ecosystem.
- Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers.
- Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse.
- Experience using Python or Scala.
- Experience in Azure DevOps and Github is preferred.
- P&C Insurance experience is preferred.
- Possesses excellent communication skills.
- Bachelor’s degree in computer science or related engineering field preferred.
TOTAL REWARDS:
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
PAY RANGE: USD $106,000.00 - USD $146,000.00 /Yr.
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual’s unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences – and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
FOR MASSACHUSETTS APPLICANTS
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
About us:
At Selective, we don't just insure uniquely, we employ uniqueness.
Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work® in 2025 for the sixth consecutive year.
Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs.
Overview:
Selective Insurance is seeking an energetic and collaborative Sr. Data Engineer to work on data and analytics projects supporting the Customer Analytics team within the Information Management group. This group is responsible for technology support of all Data Engineering, Analytics and Reporting for the Marketing, Customer Experience and Contact Center business areas. This includes Data Engineering services, Enterprise reporting support and ML Ops Engineering operations for these groups. The candidate must be hands-on with very good technical skills and a proven track record of project delivery.
Responsibilities:
- Hands on development and support of new or existing data applications.
- Work closely with business and analysts to understand data and business process and make recommendations to clients as requested on best practices or long-term solutions to resolve current issues and also for future system design.
- Works closely with Application and Enterprise Architects to create/review low level implementation designs, understand high level data flow designs developed by data architects.
- Provide technical guidance to the team for implementing complex data solutions.
- Provide support in the design, development, code reviews, test deploy and documentation of data engineering and data integration Applications.
- Maintain detailed documentation to support downstream integrations.
- Provide support for production issues.
- Performs activities of a scrum master.
- Identify technology trends and explore opportunities for use within the organization.
QUALIFICATIONS:
- Five to seven years of experience in Data Warehousing, Data integration or Data Engineering projects.
- Ability to effectively work well with people in other departments and/or outside of the enterprise.
- Proficient in SQL.
- Experience working within Azure ecosystem.
- Experience in Informatica Powercenter, IICS, Cognos, Netezza Performance servers.
- Experienced in any of these analytical platforms - PowerBI, AzureML, Databricks or Synapse.
- Experience using Python or Scala.
- Experience in Azure DevOps and Github is preferred.
- P&C Insurance experience is preferred.
- Possesses excellent communication skills.
- Bachelor’s degree in computer science or related engineering field preferred.
TOTAL REWARDS:
Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our benefits page.
The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs.
PAY RANGE: USD $106,000.00 - USD $146,000.00 /Yr.
Selective is an Equal Employment Opportunity employer. That means we respect and value every individual’s unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences – and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.
FOR MASSACHUSETTS APPLICANTS
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Big Data Engineer Job Roles in North Carolina
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Search Big Data Engineer Jobs in North CarolinaBig Data Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies in North Carolina sponsor visas for big data engineers?
Research Triangle Park anchors most sponsorship activity, with SAS Institute, Red Hat, Cisco, and IBM among the most active filers for data engineering roles. Charlotte-based firms in banking and fintech, including Bank of America and Truist, also sponsor big data engineers. Duke University Health System and academic medical centers occasionally sponsor for research-oriented data infrastructure positions.
Which visa types realistically fit big data engineer roles in North Carolina?
Big data engineers qualify for the H-1B as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field. Canadian and Mexican nationals can use the TN visa under the USMCA Engineer category, provided they hold the required degree. Australian nationals may apply for the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa. All these visas require employer sponsorship and a qualifying degree in a directly related field.
Which cities in North Carolina have the most big data engineer sponsorship jobs?
Raleigh, Durham, and the Research Triangle Park area account for the majority of big data engineering sponsorship roles in the state, driven by a dense cluster of technology, pharmaceutical, and open-source software companies. Charlotte is the second-strongest market, particularly in financial services and data platform engineering. Smaller pockets of opportunity exist in Chapel Hill, tied to UNC research computing, and in Cary near enterprise software firms.
How to find big data engineer visa sponsorship jobs in North Carolina?
Migrate Mate lists North Carolina employers with verified sponsorship history for big data engineering roles, letting you search by city and filter to companies that have actively filed for this type of position. This is more reliable than general job searches because it surfaces employers with a documented record of sponsoring engineers rather than those who only occasionally consider it. Start your search on Migrate Mate and prioritize Research Triangle Park and Charlotte employers for the strongest sponsorship pipelines.
Are there any North Carolina-specific factors that affect big data engineer sponsorship?
North Carolina's large pharmaceutical and life sciences sector, centered around Research Triangle Park, creates steady demand for big data engineers who can work with clinical trial data, genomics pipelines, and FDA-compliant data infrastructure. This industry focus can shape degree preferences, with employers in this sector often favoring backgrounds in bioinformatics or statistics alongside engineering. The state's proximity to major universities like NC State and UNC also means employers are accustomed to sponsoring recent graduates transitioning from F-1 OPT.
What is the prevailing wage for sponsored big 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.