Data Analytics Engineer Visa Sponsorship Jobs in Oklahoma
Oklahoma's data analytics engineer job market is anchored by energy giants like Williams Companies and ONEOK in Tulsa, along with healthcare systems and aerospace firms in Oklahoma City. The state's growing tech sector and university research pipelines from OU and OSU create steady demand, and several established employers here have active H-1B visa sponsorship histories for data analytics roles.
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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 Analytics Engineer Job Roles in Oklahoma
See all 48+ Data Analytics Engineer Jobs in Oklahoma
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Search Data Analytics Engineer Jobs in OklahomaData Analytics Engineer Jobs in Oklahoma: Frequently Asked Questions
Which companies in Oklahoma sponsor visas for data analytics engineers?
Energy sector employers including Williams Companies, ONEOK, and Devon Energy in Tulsa and Oklahoma City have filed H-1B petitions for data and analytics roles in recent years. Healthcare organizations like INTEGRIS Health and HCA Healthcare's Oklahoma facilities, along with aerospace and defense contractors, also appear in Department of Labor disclosure data as sponsors for technical roles requiring specialized analytical skills.
Which visa types are most common for data analytics engineer roles in Oklahoma?
The H-1B is the most common visa for data analytics engineers in Oklahoma, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the USMCA. Australians can explore the E-3 visa. L-1B transfers apply for engineers moving from an overseas office of a U.S. employer.
How to find data analytics engineer visa sponsorship jobs in Oklahoma?
Migrate Mate filters job listings specifically by visa sponsorship willingness, so you can search data analytics engineer roles in Oklahoma without sorting through employers who won't sponsor. The platform is built for international candidates, letting you narrow results by state and role type. Checking employer H-1B disclosure data alongside Migrate Mate listings gives you a clearer picture of which Oklahoma companies have a genuine history of sponsoring technical hires.
Which cities in Oklahoma have the most data analytics engineer sponsorship jobs?
Tulsa and Oklahoma City account for the large majority of data analytics engineer opportunities in the state. Tulsa's concentration of energy companies creates consistent demand for engineers who can work with operational and financial data pipelines. Oklahoma City offers a broader mix of employers across healthcare, government contracting, and financial services. Smaller markets like Stillwater and Norman occasionally have openings tied to university research institutions and regional corporate offices.
Are there any Oklahoma-specific factors data analytics engineers should know before pursuing sponsorship?
Oklahoma's energy industry drives a meaningful share of data analytics demand, so familiarity with energy trading, production data, or pipeline operations can strengthen your candidacy with Tulsa-based sponsors. The state's cost of living affects prevailing wage calculations, which are set by the Department of Labor and determine the minimum salary an H-1B employer must pay. University of Oklahoma and Oklahoma State University both produce analytics talent, so competition from local graduates is a factor employers consider alongside sponsorship costs.
What is the prevailing wage for sponsored data analytics 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.