Big Data Engineer Visa Sponsorship Jobs in South Carolina
Big data engineer visa sponsorship jobs in South Carolina are concentrated in Charlotte-adjacent markets like Rock Hill, plus Columbia's growing tech sector and Greenville's advanced manufacturing corridor. Major employers including Michelin, Milliken, and SCANA have filed for engineering roles. Financial services firms in Columbia and BMW's Spartanburg operations also draw data engineering talent.
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Get Access To All JobsDate: Nov 2, 2026
Location: Greenville, SC, US, 29601
Company: Purpose Financial
Brand: Purpose Financial
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 Manager, Data 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.
- 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
Data Management
Data Quality Assurance
ETL/ETT/ETM Tools and Process
Technical Expertise
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: 46791
Nearest Major Market: Greenville
Nearest Secondary Market: South Carolina
Date: Nov 2, 2026
Location: Greenville, SC, US, 29601
Company: Purpose Financial
Brand: Purpose Financial
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 Manager, Data 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.
- 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
Data Management
Data Quality Assurance
ETL/ETT/ETM Tools and Process
Technical Expertise
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: 46791
Nearest Major Market: Greenville
Nearest Secondary Market: South Carolina
Big Data Engineer Job Roles in South Carolina
See all Big Data Engineer Jobs in South Carolina
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Search Big Data Engineer Jobs in South CarolinaBig Data Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for big data engineers in South Carolina?
South Carolina employers with documented H-1B visa and engineering visa filing history include Michelin North America in Greenville, BMW Manufacturing in Spartanburg, and financial technology firms in Columbia. Larger regional employers in healthcare IT and advanced manufacturing have also filed for data engineering roles. Checking OFLC public disclosure data filtered by South Carolina shows which specific employers have certified Labor Condition Applications for these positions.
Which visa types realistically fit big data engineer roles in South Carolina?
Big data engineer roles qualify as specialty occupations requiring a bachelor's degree in computer science, information systems, or a related field, making H-1B the most common path. Canadian and Mexican nationals can pursue TN visa status under the Engineer or Computer Systems Analyst category. F-1 students may use OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green card sponsorship is also available through PERM for longer-term hires.
Which cities in South Carolina have the most big data engineer sponsorship jobs?
Columbia leads in data engineering sponsorship activity, driven by state government technology contracts, University of South Carolina research partnerships, and financial services firms. Greenville and Spartanburg together form a strong corridor anchored by Michelin and BMW operations requiring data infrastructure talent. Charleston is an emerging market with growing fintech and defense contractor presence, particularly around the Joint Base Charleston technology ecosystem.
How to find big data engineer visa sponsorship jobs in South Carolina?
Migrate Mate lists South Carolina employers with verified visa sponsorship history for big data engineer roles, so you can search specifically for companies that have filed for these positions rather than sorting through postings that may not lead to sponsorship. Filtering by South Carolina on Migrate Mate surfaces active sponsors in Columbia, Greenville, Spartanburg, and Charleston, saving significant time in your search.
What state-specific factors affect big data engineer sponsorship hiring in South Carolina?
South Carolina's manufacturing-heavy economy means many big data engineering roles are tied to industrial IoT, supply chain analytics, and production optimization rather than pure software development. Clemson University and the University of South Carolina produce engineering graduates who compete for local roles, so international applicants benefit from aligning their experience with manufacturing analytics, logistics platforms, or financial data systems that reflect the state's dominant industries.
What is the prevailing wage for sponsored big 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.