Data Analytics Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's data analytics engineer market spans financial services firms in Charlotte, major tech employers and research institutions in the Research Triangle, and healthcare analytics companies in Greensboro and Durham. Companies like Bank of America, Red Hat, and SAS Institute regularly hire for these roles, and many actively sponsor H-1B visa and other work visas for qualified international candidates.
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INTRODUCTION
Solugenix is assisting a client in their search for a Nasdaq Calypso ERS Module Engineer (Enterprise Risk Service). This is a 12+ month contract opportunity based in Charlotte, NC (Hybrid). We are seeking a highly experienced Nasdaq Calypso ERS (Enterprise Risk Service) Engineer to support a critical transformation initiative involving data migration, report migration, and new risk report development. The role focuses on leveraging Calypso’s ERS module to design and deliver scalable, cross-asset risk analytics covering Value-at-Risk (VaR), stress testing, and exposure monitoring across treasury and capital markets functions.
QUALIFICATIONS
Core Calypso Expertise
- Strong hands-on experience with Nasdaq Calypso platform. Deep knowledge of:
- ERS (Enterprise Risk Service) module
- Risk configuration and calculation frameworks
- Trade lifecycle and valuation concepts
Risk & Domain Knowledge
- Strong understanding of capital markets and treasury products, including:
- Fixed income, derivatives, FX, and commodities
- Expertise in:
- Market risk (VaR, sensitivities)
- Credit risk and exposure calculations
- Regulatory reporting requirements
Technical Skills
- Strong experience in data migration and data validation. Proficiency in:
- SQL / relational databases (Oracle preferred)
- Unix/Linux environments
- Experience with reporting tools and frameworks within Calypso.
- Knowledge of scripting/programming (Java, Python, or Shell).
Desired/Preferred Skills
- Experience with ERS Limits module configuration and compliance catalogs.
- Exposure to XVA and advanced risk methodologies.
- Knowledge of distributed computing/high-performance risk engines.
- Familiarity with AI/ML-driven risk acceleration techniques.
- Experience with cloud platforms (Azure/AWS).
- Understanding of data warehousing and ETL pipelines.
- Experience with reporting tools (BI tools, dashboards).
Responsibilities
ERS Implementation & Optimization
- Configure, implement, and support Nasdaq Calypso ERS (Enterprise Risk Service).
- Manage intraday and end-of-day risk calculations, including:
- Value-at-Risk (VaR)
- Stress testing scenarios
- Sensitivity analysis
- Optimize performance of risk calculations using ERS frameworks.
Data Migration & Transformation
- Lead data migration activities from legacy systems into Calypso ERS.
- Validate and reconcile migrated data to ensure accuracy and completeness.
- Collaborate with data teams to design data models and mapping strategies.
- Ensure historical data integrity for risk calculations and reporting.
Report Migration & Development
- Migrate existing risk and regulatory reports into Calypso ERS.
- Design and develop new custom risk reports and dashboards.
- Ensure reports align with regulatory standards and business requirements.
- Work with business users to refine reporting logic and visualization.
Risk Analytics & Compliance
- Implement real-time monitoring of risk exposures, limits, and compliance checks.
- Configure ERS Limits module, including:
- Counterparty exposure limits
- Concentration limits
- Investment policy rules
- Support pre-deal checks, credit exposure calculations, and scenario simulations.
Integration & Architecture
- Integrate ERS with upstream/downstream systems such as:
- Trading platforms
- Market data providers
- Treasury systems
- Support scalable architecture for real-time and batch risk processing.
- Contribute to enhancing system capabilities using advanced computation techniques.
Advanced Risk & XVA Capabilities
- Work on performance optimization techniques, including:
- Distributed computing
- Integration with advanced analytics engines
- Contribute to adoption of AI/ML-based accelerators (e.g., Chebyshev Tensor-based methods) where applicable.
COMPENSATION
- Pay Range for CA, CO, IL, NJ, NY, WA, and DC: $75/hour to $135/hour. Starting rate of pay offered may vary depending on factors including but not limited to, position offered, location, education, training and/or experience.
Solugenix will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and Ordinance. Applicants do not need to disclose their criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we are concerned about conviction that is directly related to the job, applicants will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.
ABOUT SOLUGENIX
Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance—providing clients with reliability and a strong competitive edge. Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business—it means having a dedicated ally focused on your success in today's fast-evolving digital world.
Data Analytics Engineer Job Roles in North Carolina
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Search Data Analytics Engineer Jobs in North CarolinaData Analytics Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in North Carolina?
Several large employers in North Carolina have established visa sponsorship track records for data analytics engineers. In Charlotte, financial institutions including Bank of America and Wells Fargo hire analytics engineers and file H-1B petitions regularly. In the Research Triangle, technology companies like Red Hat and IBM, analytics software firm SAS Institute, and major healthcare systems including Duke University Health System and UNC Health are among the more active sponsors in this role category.
Which visa types are most common for data analytics engineer roles in North Carolina?
The H-1B is the most common visa for data analytics engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, statistics, or a related field. F-1 graduates on OPT or STEM OPT also work in these roles before employer-sponsored H-1B petitions are filed. Professionals from Canada and Mexico may qualify for TN visa status under the USMCA in certain circumstances.
Which cities in North Carolina have the most data analytics engineer sponsorship jobs?
The Research Triangle area, encompassing Raleigh, Durham, and Chapel Hill, is North Carolina's primary concentration of data analytics engineering roles, driven by the presence of major tech employers, SAS Institute's headquarters, and proximity to NC State University, Duke, and UNC. Charlotte follows closely, with demand concentrated in financial services and fintech. Secondary markets including Greensboro and Winston-Salem show growing healthcare and manufacturing analytics hiring.
How to find data analytics engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles and filters data analytics engineer positions by state, including North Carolina. Rather than sorting through general job postings with no sponsorship clarity, Migrate Mate surfaces roles where employers have demonstrated sponsorship willingness. Filtering to North Carolina on Migrate Mate gives you a focused view of relevant openings in the Research Triangle, Charlotte, and other metros across the state.
Are there any state-specific factors that affect data analytics engineer sponsorship in North Carolina?
North Carolina's Research Triangle is home to one of the highest concentrations of research universities in the country, which creates a strong local pipeline of international STEM graduates actively seeking sponsorship. This means competition for sponsored roles can be meaningful. Employers in the region are generally familiar with the H-1B process due to high international hiring volume. Healthcare and financial services, two of the state's dominant industries, both have compliance-driven environments that make systematic sponsorship processes more common.
What is the prevailing wage for sponsored data analytics 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.