Data Analytics Engineer Visa Sponsorship Jobs in South Carolina
Data analytics engineer roles in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill, the growing tech corridor around Columbia, and financial services hubs in Greenville. Employers including BlueCross BlueShield of South Carolina, Michelin, and Blackbaud regularly hire for data and analytics engineering positions with visa sponsorship.
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INTRODUCTION
We are seeking an experienced Developer with 10+ years of overall IT experience and deep expertise in data engineering and cloud-based data platforms (Snowflake/AWS). The ideal candidate will have strong hands-on experience in designing, implementing, and optimizing scalable data solutions, along with proven experience in database migrations, security, and cost optimization on Snowflake.
ROLE AND RESPONSIBILITIES
Key Responsibilities
- Design, implement, and optimize end-to-end data engineering solutions including data ingestion, data lakes, data warehouses, reporting, and analytics.
- Lead database migration initiatives to Snowflake across cloud platforms such as AWS and Azure.
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Manage Snowflake platform security, including:
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Role-Based Access Control (RBAC)
- Single Sign-On (SSO)
- Dynamic data masking and compliance
- Implement and manage tokenization and resolve issues related to encrypted key access in Snowflake.
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Monitor and optimize Snowflake costs by:
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Tracking compute usage
- Setting up resource monitors
- Enforcing warehouse sizing best practices
- Design and manage cross-region disaster recovery, data replication, and high availability solutions.
- Develop and maintain CI/CD pipelines for Snowflake deployments.
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Utilize Snowflake utilities and features, including:
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SnowSQL, Snowpark, Snowpipe
- Tasks, Streams, Stored Procedures
- Time Travel, Zero-Copy Cloning
- Resource Monitors and Data Sharing
- Data Masking and Data Replication
- Drive performance tuning and query optimization initiatives within Snowflake.
- Manage Snowflake account setup, cloud administration, and integration with orchestration tools.
BASIC QUALIFICATIONS
Required Qualifications
- 10+ years of IT experience, with significant hands-on experience in the Snowflake platform.
- Strong expertise in SQL and Python.
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Experience with:
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Infrastructure as Code (Terraform)
- CI/CD tools (GitLab, GitHub Actions)
- Cloud ecosystem, primarily AWS
- Orchestration tools like Airflow
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Deep understanding of:
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Snowflake architecture and Virtual Warehouses
- Snowpark and data sharing capabilities
- Snowflake cost monitoring and optimization
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Hands-on experience in:
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Dynamic data masking
- Tokenization
- Secure data sharing
PREFERRED QUALIFICATIONS
Preferred Skills
- Snowflake certifications such as SnowPro Core or SnowPro Advanced Architect.
- Experience in data governance, security, and regulatory compliance frameworks.
- Familiarity with ETL tools and modern data integration frameworks.
- Strong communication, stakeholder management, and project management skills.
- Ability to work in a fast-paced, global delivery environment.
Key Attributes
- Strong problem-solving and analytical skills.
- Ability to drive architecture decisions and best practices.
- Proactive in identifying cost optimization and performance improvement opportunities.
- Excellent collaboration skills across cross-functional teams.
COMPENSATION
- The pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour.
Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
LOCATION
Fort Mill, SC, United States (On-site)
JOB TYPE
Contract (6 months 24 days)
Data Analytics Engineer Job Roles in South Carolina
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Search Data Analytics Engineer Jobs in South CarolinaData Analytics Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in South Carolina?
Employers with a documented history of sponsoring H-1B visas for data and analytics roles in South Carolina include BlueCross BlueShield of South Carolina, Blackbaud, Michelin North America, and Benefitfocus. Technology consulting firms and financial services companies operating in the Columbia and Greenville metro areas also appear in Department of Labor LCA disclosure data for analytics engineering positions.
Which visa types are most common for data analytics engineer roles in South Carolina?
The H-1B is the most common visa category for data analytics 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. Applicants already holding L-1B status with a multinational employer, particularly in manufacturing or financial services, may also transition into data engineering roles without entering the H-1B lottery.
Which cities in South Carolina have the most data analytics engineer sponsorship jobs?
Columbia leads the state for data analytics engineering sponsorship activity, driven by state government technology contracts, insurance sector employers, and the University of South Carolina's technology ecosystem. Greenville is a secondary hub, supported by manufacturing-sector analytics demand from companies like Michelin and BMW's nearby operations. Charleston is emerging, particularly in fintech and defense contracting, with growing analytics hiring across both sectors.
How to find data analytics engineer visa sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics engineer openings in South Carolina without sorting through roles that don't offer sponsorship. You can filter by state and role type to surface positions from employers who have actively sponsored visas for analytics engineering talent, saving significant time in your search.
Are there any state-specific considerations for data analytics engineers seeking sponsorship in South Carolina?
South Carolina's relatively lower cost of living compared to coastal tech markets affects prevailing wage calculations under the Labor Condition Application, which employers must file before sponsoring an H-1B. The state's university pipeline, including Clemson's computing programs and the University of South Carolina's data science offerings, means employers are accustomed to recruiting internationally trained graduates. Manufacturing-sector roles may require domain knowledge in industrial analytics alongside traditional data engineering skills.
What is the prevailing wage for sponsored data analytics 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.