Backend Engineer Visa Sponsorship Jobs in Oklahoma
Oklahoma's backend engineer job market is anchored by Tulsa and Oklahoma City, where employers in energy technology, aerospace, and financial services actively hire for server-side roles. Companies like BOK Financial, ONEOK, and American Airlines' technology operations have sponsored engineers in the past. H-1B visa and O-1 visas are the most common sponsorship pathways for backend engineers in this state.
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Get Access To All JobsJob Description:
The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and operational excellence. This role serves as the technical bridge between business requirements and modern data platforms, delivering scalable data pipelines, database and reporting solutions, enterprise application integrations, and intelligent automation capabilities. The individual will work closely with business stakeholders, analysts, and application teams to develop integrated solutions leveraging SQL Server, cloud technologies, data engineering best practices, and modern analytics and AI platforms. The ideal candidate combines deep expertise in databases, integration, and business intelligence with a strong understanding of data modeling, ETL processes, reporting, and data governance.
Essential Job Duties and Responsibilities:
Data Engineering & Integration
- Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems.
- Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
- Develop, monitor, and support a portfolio of integrations between internal systems and external providers.
- Lead data migration and consolidation efforts to modernize or retire legacy applications.
Database Architecture & Administration
- Architect, administer, and optimize SQL Server and other relational database environments supporting enterprise applications.
- Ensure database performance, reliability, security, and availability across platforms.
- Support audit and compliance activities, including evidence gathering and controls documentation (e.g., SOX).
Analytics & Business Intelligence
- Develop enterprise reporting and dashboards using Power BI, SSRS, and related tools.
- Partner with business units to define KPIs, gather requirements, and translate them into technical specifications.
- Build self-service BI capabilities and optimize datasets, semantic models, and reporting performance.
AI & Intelligent Automation
- Identify opportunities to eliminate manual processes through automation using Power Automate and related technologies.
- Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures.
- Evaluate emerging AI and automation technologies and recommend adoption opportunities.
Platform Engineering & Operations
- Support the Azure Data Platform, Microsoft Fabric, and related cloud data services.
- Implement security, identity and access management, and compliance requirements.
- Develop technical documentation, data lineage, and operational runbooks.
Collaboration & Leadership
- Collaborate with business leaders to understand strategic objectives and translate them into technical solutions.
- Mentor analysts and junior engineers and participate in architecture and governance reviews.
Education and Experience Requirements:
- Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience.
- 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles.
- Expert-level proficiency in SQL Server and T-SQL; experience with Oracle or other relational database platforms.
- Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers.
- Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau).
- Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects.
- Proficiency in one or more programming languages (e.g., C#, Python).
- Experience with data governance, security, and audit compliance practices.
- Working knowledge of cloud platforms (Azure preferred) and modern data architectures.
- Strong analytical thinking, problem-solving, and communication skills.
Preferred Skills:
- Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures.
- Experience with Python and Spark/PySpark for large-scale data processing.
- Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents).
- Experience with Power Platform and Power Automate workflow development.
- Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps).
- Microsoft Azure, Fabric, or Power Platform certifications.
- Experience supporting manufacturing or industrial operations.
- Experience leading, managing, or mentoring technical teams.
Knowledge, Skills, and Abilities:
- Attention to detail and data accuracy
- Systems thinking and technical leadership
- Effective communication with technical and non-technical stakeholders
- Business partnership and customer focus
- Time management and project coordination
- Continuous learning and adaptability
Work Environment:
While performing the duties of this job the employee will work in a climate-controlled office environment. May occasionally meet in the manufacturing facility and be exposed to:
- Humidity, loud noises, dirt
- Varying temperatures
- Sheet Metal
- Forklift traffic
Physical Demands:
- Lift up to 10 lbs.
- Occasional climbing
- Occasional stooping
- Sitting for prolonged periods
Disclaimer:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.
Job Description:
The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and operational excellence. This role serves as the technical bridge between business requirements and modern data platforms, delivering scalable data pipelines, database and reporting solutions, enterprise application integrations, and intelligent automation capabilities. The individual will work closely with business stakeholders, analysts, and application teams to develop integrated solutions leveraging SQL Server, cloud technologies, data engineering best practices, and modern analytics and AI platforms. The ideal candidate combines deep expertise in databases, integration, and business intelligence with a strong understanding of data modeling, ETL processes, reporting, and data governance.
Essential Job Duties and Responsibilities:
Data Engineering & Integration
- Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems.
- Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.
- Develop, monitor, and support a portfolio of integrations between internal systems and external providers.
- Lead data migration and consolidation efforts to modernize or retire legacy applications.
Database Architecture & Administration
- Architect, administer, and optimize SQL Server and other relational database environments supporting enterprise applications.
- Ensure database performance, reliability, security, and availability across platforms.
- Support audit and compliance activities, including evidence gathering and controls documentation (e.g., SOX).
Analytics & Business Intelligence
- Develop enterprise reporting and dashboards using Power BI, SSRS, and related tools.
- Partner with business units to define KPIs, gather requirements, and translate them into technical specifications.
- Build self-service BI capabilities and optimize datasets, semantic models, and reporting performance.
AI & Intelligent Automation
- Identify opportunities to eliminate manual processes through automation using Power Automate and related technologies.
- Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures.
- Evaluate emerging AI and automation technologies and recommend adoption opportunities.
Platform Engineering & Operations
- Support the Azure Data Platform, Microsoft Fabric, and related cloud data services.
- Implement security, identity and access management, and compliance requirements.
- Develop technical documentation, data lineage, and operational runbooks.
Collaboration & Leadership
- Collaborate with business leaders to understand strategic objectives and translate them into technical solutions.
- Mentor analysts and junior engineers and participate in architecture and governance reviews.
Education and Experience Requirements:
- Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience.
- 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles.
- Expert-level proficiency in SQL Server and T-SQL; experience with Oracle or other relational database platforms.
- Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers.
- Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau).
- Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects.
- Proficiency in one or more programming languages (e.g., C#, Python).
- Experience with data governance, security, and audit compliance practices.
- Working knowledge of cloud platforms (Azure preferred) and modern data architectures.
- Strong analytical thinking, problem-solving, and communication skills.
Preferred Skills:
- Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures.
- Experience with Python and Spark/PySpark for large-scale data processing.
- Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents).
- Experience with Power Platform and Power Automate workflow development.
- Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps).
- Microsoft Azure, Fabric, or Power Platform certifications.
- Experience supporting manufacturing or industrial operations.
- Experience leading, managing, or mentoring technical teams.
Knowledge, Skills, and Abilities:
- Attention to detail and data accuracy
- Systems thinking and technical leadership
- Effective communication with technical and non-technical stakeholders
- Business partnership and customer focus
- Time management and project coordination
- Continuous learning and adaptability
Work Environment:
While performing the duties of this job the employee will work in a climate-controlled office environment. May occasionally meet in the manufacturing facility and be exposed to:
- Humidity, loud noises, dirt
- Varying temperatures
- Sheet Metal
- Forklift traffic
Physical Demands:
- Lift up to 10 lbs.
- Occasional climbing
- Occasional stooping
- Sitting for prolonged periods
Disclaimer:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship.
Backend Engineer Job Roles in Oklahoma
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Search Backend Engineer Jobs in OklahomaBackend Engineer Jobs in Oklahoma: Frequently Asked Questions
Which companies sponsor visas for backend engineers in Oklahoma?
Oklahoma employers with a track record of sponsoring backend engineers include BOK Financial, ONEOK, Paycom, and The Williams Companies. Paycom, headquartered in Oklahoma City, is particularly active in software engineering hiring and has filed H-1B Labor Condition Applications for backend roles. Larger employers in the energy and financial services sectors tend to have established HR and legal infrastructure to support sponsorship.
Which visa types are most common for backend engineer roles in Oklahoma?
The H-1B is the most common visa for backend engineers in Oklahoma, as software and backend development roles typically qualify as specialty occupations requiring a relevant bachelor's degree or higher. The O-1A is an option for engineers with demonstrated exceptional ability, though it requires substantial supporting evidence. International graduates from Oklahoma universities on F-1 OPT or STEM OPT are also a significant portion of sponsored backend engineers in the state.
Which cities in Oklahoma have the most backend engineer sponsorship jobs?
Oklahoma City and Tulsa account for the majority of backend engineer sponsorship opportunities in the state. Oklahoma City is home to Paycom and a growing fintech and health-tech cluster, while Tulsa hosts energy-sector technology teams at companies like ONEOK and The Williams Companies. Tulsa's remote-work incentive program has also attracted technology employers that hire locally, adding to the sponsorship pool in that city.
How to find backend engineer visa sponsorship jobs in Oklahoma?
Migrate Mate is built specifically for international job seekers looking for visa-sponsored roles, and you can filter by state to see backend engineer openings in Oklahoma directly. Because sponsorship-willing employers are not always easy to identify from a standard job listing, using a platform like Migrate Mate that surfaces employers with active sponsorship history saves meaningful research time for backend engineers targeting Oklahoma.
Are there state-specific factors backend engineers should know when pursuing sponsorship in Oklahoma?
Oklahoma's technology sector is still maturing compared to coastal markets, which means fewer total openings but also less competition for sponsored backend roles at established employers. The University of Oklahoma and Oklahoma State University both produce engineering graduates who enter the local market, and some employers work with these pipelines on OPT-to-H-1B transitions. Prevailing wage requirements under the H-1B program apply uniformly across the U.S., but wage levels in Oklahoma generally reflect a lower cost-of-living market than major tech hubs.
What is the prevailing wage for sponsored backend engineer jobs in Oklahoma?
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.