Systems Engineer Visa Sponsorship Jobs in South Carolina
Systems engineer visa sponsorship jobs in South Carolina are concentrated around aerospace and defense employers like Boeing in North Charleston, Lockheed Martin, and Booz Allen Hamilton, alongside growing tech operations in Columbia and Greenville. The state's military installations and advanced manufacturing base drive steady demand for systems engineering talent across both government contracting and commercial sectors.
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Get Access To All JobsJob Summary
The Business Systems Analyst – Data Engineering & Operations is responsible for designing and delivering data-driven solutions that improve operational efficiency, reporting accuracy, and business performance across the Energy business.
This role is heavily focused on building and structuring data, developing business intelligence solutions, and enabling a scalable foundation for decision making. Operating at the intersection of Business Operations and IT, this position requires strong technical capability alongside the ability to translate business needs—including operational and financial performance drivers—into structured, system-driven solutions. The role owns initiatives end-to-end—from identifying data and process gaps through development and implementation of solutions—and is expected to be hands-on in developing data and reporting solutions, not solely defining requirements. Over time, this role will develop a strong understanding of how the business operates, enabling more effective solution design and contribution to business decision-making.
Key Responsibilities
- Design and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs
- Build and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL
- Identify and resolve data fragmentation, driving toward a consistent and reliable source of truth
- Develop and support data pipelines or structured data transformations to improve accessibility and consistency of data
- Partner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions
- Act as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration
- Identify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions
- Leverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement
- Translate data outputs into clear insights and recommendations that support business decision making
- Develop an understanding of how the business operates across pricing, operations, and financial performance
- Engage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers
Technical Expectations
This role requires hands-on development experience in SQL and Power BI (DAX). Candidates without direct experience building data models and dashboards will not be considered.
- Strong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)
- Advanced experience with Power BI, including data modeling and writing complex DAX measures
- Solid understanding of relational data models, data structures, and system integrations
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Working knowledge of Python, Power Automate, or similar tools for automation and data processing
- Familiarity with applying AI tools to enhance productivity and solution development
Key Success Traits
- Strong technical problem solver who can translate business needs and operational context into data and system solutions
- High ownership mindset; able to independently drive solutions from concept through implementation
- Ability to operate effectively across business and technical domains
- Curiosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers
- Ability to connect data, process, and business impact
- Curiosity and adaptability to apply AI and emerging technologies
- Detail-oriented with focus on data integrity, consistency, and scalability
Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field
- 3–6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Demonstrated experience building data models, BI solutions, or automated workflows
- Experience working with ERP/CRM systems and understanding data flows
- Background in manufacturing, industrial, or operations-driven environments preferred
Measures of Success
- Establishment of reliable, scalable data sources and models
- Reduction of data inconsistencies and fragmentation
- Increased adoption and effectiveness of BI tools
- Reduction in manual processes through automation
- Improved visibility into operational and financial performance
Job Summary
The Business Systems Analyst – Data Engineering & Operations is responsible for designing and delivering data-driven solutions that improve operational efficiency, reporting accuracy, and business performance across the Energy business.
This role is heavily focused on building and structuring data, developing business intelligence solutions, and enabling a scalable foundation for decision making. Operating at the intersection of Business Operations and IT, this position requires strong technical capability alongside the ability to translate business needs—including operational and financial performance drivers—into structured, system-driven solutions. The role owns initiatives end-to-end—from identifying data and process gaps through development and implementation of solutions—and is expected to be hands-on in developing data and reporting solutions, not solely defining requirements. Over time, this role will develop a strong understanding of how the business operates, enabling more effective solution design and contribution to business decision-making.
Key Responsibilities
- Design and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs
- Build and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL
- Identify and resolve data fragmentation, driving toward a consistent and reliable source of truth
- Develop and support data pipelines or structured data transformations to improve accessibility and consistency of data
- Partner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions
- Act as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration
- Identify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions
- Leverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement
- Translate data outputs into clear insights and recommendations that support business decision making
- Develop an understanding of how the business operates across pricing, operations, and financial performance
- Engage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers
Technical Expectations
This role requires hands-on development experience in SQL and Power BI (DAX). Candidates without direct experience building data models and dashboards will not be considered.
- Strong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)
- Advanced experience with Power BI, including data modeling and writing complex DAX measures
- Solid understanding of relational data models, data structures, and system integrations
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Working knowledge of Python, Power Automate, or similar tools for automation and data processing
- Familiarity with applying AI tools to enhance productivity and solution development
Key Success Traits
- Strong technical problem solver who can translate business needs and operational context into data and system solutions
- High ownership mindset; able to independently drive solutions from concept through implementation
- Ability to operate effectively across business and technical domains
- Curiosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers
- Ability to connect data, process, and business impact
- Curiosity and adaptability to apply AI and emerging technologies
- Detail-oriented with focus on data integrity, consistency, and scalability
Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field
- 3–6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Demonstrated experience building data models, BI solutions, or automated workflows
- Experience working with ERP/CRM systems and understanding data flows
- Background in manufacturing, industrial, or operations-driven environments preferred
Measures of Success
- Establishment of reliable, scalable data sources and models
- Reduction of data inconsistencies and fragmentation
- Increased adoption and effectiveness of BI tools
- Reduction in manual processes through automation
- Improved visibility into operational and financial performance
Systems Engineer Job Roles in South Carolina
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Search Systems Engineer Jobs in South CarolinaSystems Engineer Jobs in South Carolina: Frequently Asked Questions
Which companies sponsor visas for systems engineers in South Carolina?
Boeing's North Charleston facility is one of the most active sponsors, given its large-scale 787 Dreamliner production operation. Defense contractors including Booz Allen Hamilton, Leidos, and SAIC also sponsor systems engineers, particularly for roles supporting the state's military installations. Tech-focused employers in Columbia's growing corridor, such as Capgemini and Deloitte, have filed H-1B visa petitions for systems engineering positions as well.
Which visa types are most common for systems engineer roles in South Carolina?
The H-1B is the most common visa category for systems engineers in South Carolina, as the role consistently meets the specialty occupation standard requiring a bachelor's degree or higher in engineering or a related technical field. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA-successor USMCA. Australians can pursue the E-3 visa. L-1 visa transfers are also used by multinational defense and aerospace contractors.
Which cities in South Carolina have the most systems engineer sponsorship jobs?
North Charleston leads due to Boeing's 787 production campus and the concentration of defense contractors supporting nearby Joint Base Charleston. Columbia, as the state capital and home to Fort Jackson, supports systems engineering roles in government IT and defense. Greenville has grown as an advanced manufacturing hub with employers like Michelin and BMW, which occasionally sponsor systems engineers for automation and integration work.
How to find systems engineer visa sponsorship jobs in South Carolina?
Migrate Mate is built specifically for international job seekers and filters systems engineer roles in South Carolina by visa sponsorship availability, so you're not sorting through listings from employers who won't sponsor. The platform is particularly useful for identifying aerospace, defense, and manufacturing employers in the North Charleston, Columbia, and Greenville areas who have an established history of filing H-1B or other work visa petitions for engineering roles.
Are there any state-specific considerations for systems engineers pursuing visa sponsorship in South Carolina?
South Carolina's defense sector means many systems engineer roles involve work on government contracts, which can introduce security clearance requirements. Clearances generally require U.S. citizenship or permanent residency, so roles at prime defense contractors may be off-limits for visa holders without a green card. Civilian roles at commercial aerospace employers like Boeing or automotive manufacturers tend to be more accessible to H-1B and similar visa holders without clearance requirements.
What is the prevailing wage for sponsored systems 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.