Data Engineer Visa Sponsorship Jobs in Oklahoma
Oklahoma's data engineer job market centers on Tulsa and Oklahoma City, where energy giants like Williams Companies and ONEOK, along with healthcare systems and financial services firms, drive demand for pipeline and analytics talent. Several of these employers have established visa sponsorship track records, making Oklahoma a viable destination for international data engineering candidates.
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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.
Data Engineer Job Roles in Oklahoma
See all 51+ Data Engineer Jobs in Oklahoma
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Search Data Engineer Jobs in OklahomaData Engineer Jobs in Oklahoma: Frequently Asked Questions
Which companies sponsor visas for data engineers in Oklahoma?
Energy sector employers including Williams Companies, ONEOK, and Devon Energy have sponsored data engineers through H-1B visa and other work visas. Large healthcare systems like INTEGRIS Health and SSM Health Oklahoma, along with financial technology firms in Oklahoma City, also appear in federal Labor Condition Application records as sponsors for data and analytics roles. Sponsorship availability varies by hiring cycle and team budget.
Which visa types are most common for data engineer roles in Oklahoma?
The H-1B is the most common visa category for data engineers in Oklahoma, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, or a related field. Candidates already holding L-1 visa status through multinational employers or OPT authorization from U.S. universities are also represented in Oklahoma's data engineering workforce. TN visa status is available for Canadian and Mexican nationals in qualifying technical roles.
Which cities in Oklahoma have the most data engineer sponsorship jobs?
Oklahoma City and Tulsa account for the large majority of data engineer sponsorship activity in the state. Oklahoma City draws demand from state government contractors, healthcare networks, and financial services firms. Tulsa's concentration of midstream energy companies, including several Fortune 500 headquarters, generates consistent need for data pipeline and infrastructure engineers. Outside these two metros, sponsorship opportunities are considerably more limited.
How to find data engineer visa sponsorship jobs in Oklahoma?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse data engineer openings in Oklahoma without sifting through roles that don't offer sponsorship. The platform surfaces positions from energy, healthcare, and tech employers across Tulsa and Oklahoma City. Filtering by role and state lets you focus your applications on employers who have actively indicated willingness to sponsor international candidates for data engineering positions.
Are there any state-specific factors data engineers should know when pursuing sponsorship in Oklahoma?
Oklahoma's data engineering market is heavily tied to the energy sector, so candidates with experience in time-series data, SCADA systems, or operational data pipelines may find their skills particularly relevant to Tulsa-based employers. The University of Oklahoma and Oklahoma State University produce local engineering graduates, but employer demand in specialized areas often exceeds local supply, which can support the case for sponsoring international candidates with niche technical skill sets.
What is the prevailing wage for sponsored data 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.