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 JobsAddress: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefront locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members. At Purpose Financial, we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We Offer
- Competitive Wages
- Health/Life Benefits
- Health Savings Account plus Employer Seed
- 401(k) Savings Plan with Company Match
- Paid Parental Leave
- Company Paid Holidays
- Paid Time Off including Volunteer Time
- Tuition Reimbursement
- Business Casual Environment
- Rewards & Recognition Program
- Employee Assistance Program
- Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
Position Summary
Purpose Financial is seeking a talented and motivated Sr Data Engineer to join our dynamic and growing data engineering Platform Team. The role reports to the Director, Data & Platform Engineering and will support Purpose Financial's initiative to build a data-driven culture and improve decisioning for enterprise-wide teammates. Experience with dbt required. The Senior Data Engineer will play a pivotal role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets. Collaborate with cross-functional teams to build and acquire underlying data for application owners and end-users and design strategic data services for the organization. The right Senior Data Engineer will need to have expert knowledge of AWS and/or Snowflake cloud environments.
Job Responsibility
- Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from various sources into our data lake and warehouse environments.
- Implement data integration solutions to consolidate data from disparate sources, including databases, API’s, streaming platforms, and 3rd party services (e.g., Snowpipe, SnowPark, Dynamo, Kafka).
- Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks such as FiveTran, dbt, Snowpark, Snowpipe, etc.
- Collaborate cross-functionally with IT & business stakeholders to understand data requirements, define data models, and develop solutions to support data services, reporting, and Software Development.
- Partner with data, IT, and business teams to improve design and building of metrics to enhance our analytic capabilities.
- Implement data quality checks, data validation processes, and error handling mechanisms to ensure the accuracy, completeness, and reliability of data across all stages of the data lifecycle.
Job Responsibilities Cont.
- Support the design and maintenance of data schemas, and metadata repositories for governance documentation of data lineage, definitions, and dependencies.
- Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.
- Apply best practices for AWS and Snowflake architectures, data pipelines, and data models.
- Monitor, troubleshoot, and optimize the performance and availability of data systems and infrastructure using monitoring and logging tools such as Prometheus.
- Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact and relevance to our data platforms.
- Responsible to coach and mentor junior data engineers.
Education Required
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience Required
- 10+ years of experience in data engineering, data pipelines, and data services required.
- Familiarity with Agile/Scrum based development and methodology.
- Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
- Expert level experience with cloud-based data platforms and services such as AWS, Snowflake, and dbt.
- Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
- Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
- Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
- Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
- Strong communication, interpersonal, and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.
Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
Data Architecture
Technical Expertise
Data Quality Assurance
Data Management
ETL/ETT/ETM Tools and Process
OKR
Travel
0-10% of travel
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46072
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefront locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members. At Purpose Financial, we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We Offer
- Competitive Wages
- Health/Life Benefits
- Health Savings Account plus Employer Seed
- 401(k) Savings Plan with Company Match
- Paid Parental Leave
- Company Paid Holidays
- Paid Time Off including Volunteer Time
- Tuition Reimbursement
- Business Casual Environment
- Rewards & Recognition Program
- Employee Assistance Program
- Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks
Position Summary
Purpose Financial is seeking a talented and motivated Sr Data Engineer to join our dynamic and growing data engineering Platform Team. The role reports to the Director, Data & Platform Engineering and will support Purpose Financial's initiative to build a data-driven culture and improve decisioning for enterprise-wide teammates. Experience with dbt required. The Senior Data Engineer will play a pivotal role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets. Collaborate with cross-functional teams to build and acquire underlying data for application owners and end-users and design strategic data services for the organization. The right Senior Data Engineer will need to have expert knowledge of AWS and/or Snowflake cloud environments.
Job Responsibility
- Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from various sources into our data lake and warehouse environments.
- Implement data integration solutions to consolidate data from disparate sources, including databases, API’s, streaming platforms, and 3rd party services (e.g., Snowpipe, SnowPark, Dynamo, Kafka).
- Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks such as FiveTran, dbt, Snowpark, Snowpipe, etc.
- Collaborate cross-functionally with IT & business stakeholders to understand data requirements, define data models, and develop solutions to support data services, reporting, and Software Development.
- Partner with data, IT, and business teams to improve design and building of metrics to enhance our analytic capabilities.
- Implement data quality checks, data validation processes, and error handling mechanisms to ensure the accuracy, completeness, and reliability of data across all stages of the data lifecycle.
Job Responsibilities Cont.
- Support the design and maintenance of data schemas, and metadata repositories for governance documentation of data lineage, definitions, and dependencies.
- Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.
- Apply best practices for AWS and Snowflake architectures, data pipelines, and data models.
- Monitor, troubleshoot, and optimize the performance and availability of data systems and infrastructure using monitoring and logging tools such as Prometheus.
- Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact and relevance to our data platforms.
- Responsible to coach and mentor junior data engineers.
Education Required
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Experience Required
- 10+ years of experience in data engineering, data pipelines, and data services required.
- Familiarity with Agile/Scrum based development and methodology.
- Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
- Expert level experience with cloud-based data platforms and services such as AWS, Snowflake, and dbt.
- Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
- Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
- Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
- Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
- Strong communication, interpersonal, and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.
Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
Data Architecture
Technical Expertise
Data Quality Assurance
Data Management
ETL/ETT/ETM Tools and Process
OKR
Travel
0-10% of travel
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46072
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 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.
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