Data Engineer Visa Sponsorship Jobs in South Carolina
South Carolina's data engineer job market is concentrated in Charlotte-adjacent cities like Rock Hill, as well as Columbia and Greenville, where financial services firms, healthcare networks, and manufacturing companies are expanding their data infrastructure teams. Employers including Synchrony, BlueCross BlueShield of South Carolina, and BMW Manufacturing have sponsored data engineering roles in the state.
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Get Access To All JobsINTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
INTRODUCTION
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
ROLE AND RESPONSIBILITIES
What You’ll Do:
Reporting & Analytics:
- Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
- Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
- Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
Fraud Technology Support:
- Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
- Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
- Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
Rules & Model Management:
- Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
- Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
Data Management:
- Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
- Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
Cross-Functional Partnership:
- Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
- Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
- Provide analytical support and subject matter expertise for fraud-related initiatives.
BASIC QUALIFICATIONS
Requirements For Success:
- Bachelor's degree or higher preferred
- 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
Required Skills:
- Hands-on experience with fraud and/or banking platforms.
- Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
- Experience querying and analyzing large datasets using SQL or similar data analysis tools.
- Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
- Strong analytical, problem-solving, and communication skills.
- Demonstrated ability to collaborate effectively with cross-functional teams.
PREFERRED QUALIFICATIONS
Preferred Skills:
- Experience with machine learning concepts or partnering with data science teams.
- Experience creating or maintaining process maps for technical or operational processes.
- Familiarity with APIs, system integrations, or cloud-based data environments.
- Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
CONDITIONS OF EMPLOYMENT
- Must be able to pass a criminal background & credit check.
- This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
- Up to 10% of travel may be required.
FLSA Status: Exempt
COMPENSATION
Pay Range: USD $49,972.00 - USD $76,958.00 /Yr.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Data Engineer Job Roles in South Carolina
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Search Data Engineer Jobs in South CarolinaData Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data engineers in South Carolina?
Financial services and healthcare organizations are among the most active sponsors for data engineers in South Carolina. Companies like Synchrony Financial, BlueCross BlueShield of South Carolina, and Palmetto Health have filed Labor Condition Applications for data engineering roles. Manufacturing firms in the Upstate region, including BMW and Michelin, also maintain data teams that have sponsored H-1B visa positions. Sponsorship activity varies by year and hiring cycle.
Which visa types are most common for data engineer roles in South Carolina?
The H-1B is the most common visa category for data engineers in South Carolina, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, information systems, or a related field. Candidates already on OPT or STEM OPT can work while an employer files an H-1B petition. Some multinational employers in the state also use L-1B visas for intracompany transfers into specialized data roles.
Which cities in South Carolina have the most data engineer sponsorship jobs?
Columbia sees the highest concentration of data engineering roles, driven by state government contractors, healthcare systems, and the presence of the University of South Carolina's technology sector. Greenville and the Upstate region attract data talent through advanced manufacturing and logistics firms. Rock Hill, close to the Charlotte metro, benefits from spillover hiring from North Carolina-based employers who maintain operations just across the state line.
How to find data engineer visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter data engineer roles by state, including South Carolina. Rather than sorting through general job boards that rarely flag sponsorship availability, Migrate Mate surfaces roles where employers have a documented history of sponsoring work visas. Filtering by South Carolina on Migrate Mate gives you a focused list of data engineering positions relevant to your situation.
What should data engineers know about the South Carolina job market before applying for sponsored roles?
South Carolina does not have a state income tax on wages at the individual level comparable to some states, which can be relevant context when evaluating offers. The state's data engineering demand is concentrated in healthcare IT, financial technology, and advanced manufacturing rather than the large tech clusters found in coastal states. Candidates from Clemson University and the University of South Carolina feed local pipelines, so employers in the state are generally familiar with OPT and sponsorship processes.
What is the prevailing wage for sponsored data 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.