Manufacturing H-1B Sponsorship Jobs in South Carolina
South Carolina's manufacturing sector spans automotive, aerospace, and advanced materials, with major employers like BMW, Boeing, Michelin, and Bosch operating large facilities across the state. H-1B visa sponsorship in SC manufacturing is concentrated around Greenville-Spartanburg, Charleston, and Columbia, where demand for engineers, quality specialists, and operations professionals supports international hiring.
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Get Access To All JobsINTRODUCTION
Wind energy generates some of the most complex, high-volume data in the energy sector. If you want to build the analytics infrastructure that helps keep turbines turning and fleets performing at their best, this role puts you at the center of that work.
GE Vernova is looking for a Senior Staff Analytics Engineer to join the Wind Engineering Fleet Performance Management (FPM) Fleet Data & Analytics team. You will design and deliver the data pipelines, analytics products, and monitoring capabilities that power engineering decisions across GE Vernova's global wind fleet. Your work will directly support turbine reliability, fleet performance, and the engineering teams who depend on trusted, scalable data every day.
JOB DESCRIPTION
You will own the development and operation of analytics solutions across the full lifecycle — from design through deployment, monitoring, and continuous improvement. Working with data from Supervisory Control and Data Acquisition (SCADA) systems, condition-based monitoring, turbine sensors, operational systems, and enterprise platforms, you will:
- Build and maintain scalable data pipelines and transformation workflows that turn raw turbine and fleet data into reliable, production-ready analytics assets.
- Develop analytics products, dashboards, and Key Performance Indicators (KPIs) that surface insights on turbine reliability, fleet performance, and engineering outcomes — using tools such as Power BI, Tableau, Plotly Dash, or Streamlit.
- Design and evolve reusable data models and analytics components for cross-functional wind use cases, driving standardization and quality across the team.
- Monitor production solutions for data quality, pipeline health, and performance, leading root cause analysis and troubleshooting on complex datasets.
- Apply software engineering and DevOps best practices — including Continuous Integration/Continuous Delivery (CI/CD), automated testing, version control, and release management — to deliver solutions that are maintainable and built to last.
- Partner with wind engineering, product, digital, and operations teams to translate complex domain needs into practical, scalable technical solutions.
- Guide and mentor teammates, contribute to backlog and release planning within Agile delivery structures, and help raise the standard of engineering and analytics practice across the team.
What You'll Bring
You are a technically strong analytics engineer who is equally comfortable working in the data layer and collaborating with domain experts. You bring production discipline to your craft and the communication skills to operate effectively across engineering, product, and business stakeholders.
REQUIRED:
- A formal education and subsequent Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Statistics, or a related STEM field is nice to have, but we are most interested in your total experience and professional achievements.
- 8+ years of professional experience in analytics engineering, data engineering, software engineering, or a closely related technical field.
- Strong hands-on experience with Python and SQL for building production-quality analytics and data solutions.
- Experience designing, building, and supporting data pipelines, data models, and analytics workflows in industrial, engineering, or enterprise environments.
- Experience developing dashboards and data applications using Power BI, Tableau, Plotly Dash, Streamlit, or similar tools.
- Experience applying CI/CD, version control, testing, and release management practices in data and analytics environments.
- Experience working in Agile/Scrum delivery teams, including backlog management, sprint planning, and cross-functional coordination.
PREFERRED:
- Experience working with wind turbine, SCADA, sensor, operational, or event data in an analytics or engineering context.
- Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, Redshift, BigQuery, or equivalent distributed processing tools.
- Familiarity with cloud data platforms and platform-oriented engineering approaches for scalable analytics delivery.
WHY GE VERNOVA
GE Vernova employees rise to the challenge of building a world that works. To support that mission, we offer varied, competitive benefits designed to reward high performers and help you manage your personal and family needs. A healthy, balanced lifestyle means something different to everyone — we've built programs that support the way you live and work today. We also invest in your growth, providing on-the-job learning and development opportunities that help you build a career that moves forward.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
RELOCATION ASSISTANCE PROVIDED: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $123,200.00 and $205,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on October 28, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
INTRODUCTION
Wind energy generates some of the most complex, high-volume data in the energy sector. If you want to build the analytics infrastructure that helps keep turbines turning and fleets performing at their best, this role puts you at the center of that work.
GE Vernova is looking for a Senior Staff Analytics Engineer to join the Wind Engineering Fleet Performance Management (FPM) Fleet Data & Analytics team. You will design and deliver the data pipelines, analytics products, and monitoring capabilities that power engineering decisions across GE Vernova's global wind fleet. Your work will directly support turbine reliability, fleet performance, and the engineering teams who depend on trusted, scalable data every day.
JOB DESCRIPTION
You will own the development and operation of analytics solutions across the full lifecycle — from design through deployment, monitoring, and continuous improvement. Working with data from Supervisory Control and Data Acquisition (SCADA) systems, condition-based monitoring, turbine sensors, operational systems, and enterprise platforms, you will:
- Build and maintain scalable data pipelines and transformation workflows that turn raw turbine and fleet data into reliable, production-ready analytics assets.
- Develop analytics products, dashboards, and Key Performance Indicators (KPIs) that surface insights on turbine reliability, fleet performance, and engineering outcomes — using tools such as Power BI, Tableau, Plotly Dash, or Streamlit.
- Design and evolve reusable data models and analytics components for cross-functional wind use cases, driving standardization and quality across the team.
- Monitor production solutions for data quality, pipeline health, and performance, leading root cause analysis and troubleshooting on complex datasets.
- Apply software engineering and DevOps best practices — including Continuous Integration/Continuous Delivery (CI/CD), automated testing, version control, and release management — to deliver solutions that are maintainable and built to last.
- Partner with wind engineering, product, digital, and operations teams to translate complex domain needs into practical, scalable technical solutions.
- Guide and mentor teammates, contribute to backlog and release planning within Agile delivery structures, and help raise the standard of engineering and analytics practice across the team.
What You'll Bring
You are a technically strong analytics engineer who is equally comfortable working in the data layer and collaborating with domain experts. You bring production discipline to your craft and the communication skills to operate effectively across engineering, product, and business stakeholders.
REQUIRED:
- A formal education and subsequent Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Analytics, Mathematics, Statistics, or a related STEM field is nice to have, but we are most interested in your total experience and professional achievements.
- 8+ years of professional experience in analytics engineering, data engineering, software engineering, or a closely related technical field.
- Strong hands-on experience with Python and SQL for building production-quality analytics and data solutions.
- Experience designing, building, and supporting data pipelines, data models, and analytics workflows in industrial, engineering, or enterprise environments.
- Experience developing dashboards and data applications using Power BI, Tableau, Plotly Dash, Streamlit, or similar tools.
- Experience applying CI/CD, version control, testing, and release management practices in data and analytics environments.
- Experience working in Agile/Scrum delivery teams, including backlog management, sprint planning, and cross-functional coordination.
PREFERRED:
- Experience working with wind turbine, SCADA, sensor, operational, or event data in an analytics or engineering context.
- Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, Redshift, BigQuery, or equivalent distributed processing tools.
- Familiarity with cloud data platforms and platform-oriented engineering approaches for scalable analytics delivery.
WHY GE VERNOVA
GE Vernova employees rise to the challenge of building a world that works. To support that mission, we offer varied, competitive benefits designed to reward high performers and help you manage your personal and family needs. A healthy, balanced lifestyle means something different to everyone — we've built programs that support the way you live and work today. We also invest in your growth, providing on-the-job learning and development opportunities that help you build a career that moves forward.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
RELOCATION ASSISTANCE PROVIDED: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $123,200.00 and $205,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on October 28, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
H-1B Manufacturing Job Roles in South Carolina
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Search Manufacturing Jobs in South CarolinaManufacturing H-1B Sponsorship Jobs in South Carolina: Frequently Asked Questions
Which manufacturing companies sponsor H-1B visas in South Carolina?
Several large manufacturers in South Carolina have a track record of H-1B visa sponsorship, including BMW Manufacturing in Spartanburg, Boeing in North Charleston, Michelin North America in Greenville, and Bosch in Anderson. These companies regularly hire engineers and technical specialists in roles that qualify as specialty occupations under H-1B requirements. Sponsorship is not guaranteed and depends on the specific role, business need, and employer policy at the time of hiring.
Which cities in South Carolina have the most manufacturing H-1B sponsorship jobs?
The Greenville-Spartanburg metro area is the most active region for manufacturing H-1B sponsorship in South Carolina, driven by the concentration of automotive and tire manufacturing facilities. Charleston is a secondary hub, particularly for aerospace and defense manufacturing. Columbia and the Anderson-Greenwood corridor also see activity, especially in automotive supply chain and industrial equipment manufacturing.
How do I find manufacturing H-1B sponsorship jobs in South Carolina?
Migrate Mate filters job listings specifically by visa sponsorship type and industry, making it straightforward to browse manufacturing H-1B roles in South Carolina without sorting through positions that don't offer sponsorship. You can narrow results by city or sub-sector, such as automotive, aerospace, or industrial equipment, to focus on employers actively hiring international candidates for specialty occupation roles in the state.
What types of manufacturing roles typically qualify for H-1B sponsorship in South Carolina?
Roles that most commonly qualify are those requiring a bachelor's degree or higher in a specific technical field. In South Carolina manufacturing, this includes mechanical, industrial, electrical, and materials engineers, quality assurance engineers, manufacturing process engineers, and production systems specialists. General assembly, production operator, and supervisory roles that don't require a degree in a specific discipline typically do not meet the H-1B specialty occupation standard.
Are there any state-specific considerations for H-1B sponsorship in South Carolina's manufacturing sector?
South Carolina does not have a state-level work authorization program, so H-1B sponsorship follows standard federal USCIS requirements regardless of location. One practical consideration is that many SC manufacturing facilities are located outside major metros, which can affect prevailing wage determinations since the Department of Labor calculates wages by geographic area. Candidates should confirm that the specific worksite location is reflected accurately in the Labor Condition Application filed by the employer.
What is the prevailing wage for H-1B manufacturing 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.