Analytics Engineer Visa Sponsorship Jobs in Oklahoma
Analytics engineer visa sponsorship jobs in Oklahoma are concentrated in Tulsa and Oklahoma City, where energy companies like Williams Companies and ONEOK, financial institutions, and growing tech employers actively hire for data pipeline and transformation roles. The state's expanding healthcare analytics sector adds further demand for sponsored talent with dbt, SQL, and cloud data warehouse expertise.
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Get Access To All JobsJOB SUMMARY
The Analytics Data Engineer queries, builds and supports the data infrastructure that powers innovative neuroscience and mental health research. This role works with investigators, clinicians, data scientists, Data Architects, Developers, Integrators, and research teams to transform healthcare data into secure, high-quality research datasets, develop scalable data pipelines, optimize databases, and advance clinical research using Epic (Cosmos) and similar enterprise healthcare data platforms.
MINIMUM QUALIFICATIONS
Bachelor’s degree in related field.
Licensure, Registration and/or Certification
Epic Cosmos, Cogito or Epic Caboodle Certification. One data model certification, preferred.
WORK EXPERIENCE
Minimum 3 years related experience. The ideal candidate will have strong SQL experience, preferably within healthcare, along with experience using Epic Clarity or Caboodle. Experience with Epic Cosmos is an additional plus.
KNOWLEDGE, SKILLS AND ABILITIES
- Knowledge of Microsoft 365 and other applicable software.
- Advanced knowledge of structured query language (SQL).
- Knowledge of healthcare data standards (ICD-10 (International Classification of Diseases, 10th Revision), CPT (Current Procedural Terminology), SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), LOINC (Logical Observation Identifiers Names and Codes), and RxNorm (a standardized nomenclature for clinical drugs and drug delivery devices), while HIPAA (Health Insurance Portability and Accountability Act).
- Proven knowledge of data management to understand integrity issues and facilitate their resolution.
- Excellent communication skills, both written and verbal that present clear and concise information.
- Strong analytical skills.
- Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities with competing deadlines.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Designs and maintains Extract, Load, Transform (ELT) pipelines for clinical and research data.
- Develops and optimizes complex Structured Query Language (SQL) queries, databases, and analytics-ready datasets.
- Extracts, cleans, and integrates data from Epic, Cosmos, or similar Electronic Health Record (EHR) Platforms, Research Electronic Data Capture (REDCap), and other research systems.
- Collaborates with researchers to translate research questions into technical data solutions.
- Ensures data quality, security, Health Insurance Portability and Accountability Act (HIPAA) compliance, and reproducible workflows.
- Documents data pipeline and support continuous improvement of research data infrastructure.
DECISION MAKING
Independent judgment in making decisions involving non-routine problems under general supervision.
WORKING RELATIONSHIPS
Works with other healthcare professionals and staff. Works frequently with individuals at Director level or above.
SPECIAL JOB DIMENSIONS
None.
SUPPLEMENTAL INFORMATION
This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.
LOCATION
Tulsa, Oklahoma 74136
EOE Protected Veterans/Disability
JOB SUMMARY
The Analytics Data Engineer queries, builds and supports the data infrastructure that powers innovative neuroscience and mental health research. This role works with investigators, clinicians, data scientists, Data Architects, Developers, Integrators, and research teams to transform healthcare data into secure, high-quality research datasets, develop scalable data pipelines, optimize databases, and advance clinical research using Epic (Cosmos) and similar enterprise healthcare data platforms.
MINIMUM QUALIFICATIONS
Bachelor’s degree in related field.
Licensure, Registration and/or Certification
Epic Cosmos, Cogito or Epic Caboodle Certification. One data model certification, preferred.
WORK EXPERIENCE
Minimum 3 years related experience. The ideal candidate will have strong SQL experience, preferably within healthcare, along with experience using Epic Clarity or Caboodle. Experience with Epic Cosmos is an additional plus.
KNOWLEDGE, SKILLS AND ABILITIES
- Knowledge of Microsoft 365 and other applicable software.
- Advanced knowledge of structured query language (SQL).
- Knowledge of healthcare data standards (ICD-10 (International Classification of Diseases, 10th Revision), CPT (Current Procedural Terminology), SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), LOINC (Logical Observation Identifiers Names and Codes), and RxNorm (a standardized nomenclature for clinical drugs and drug delivery devices), while HIPAA (Health Insurance Portability and Accountability Act).
- Proven knowledge of data management to understand integrity issues and facilitate their resolution.
- Excellent communication skills, both written and verbal that present clear and concise information.
- Strong analytical skills.
- Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities with competing deadlines.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
- Designs and maintains Extract, Load, Transform (ELT) pipelines for clinical and research data.
- Develops and optimizes complex Structured Query Language (SQL) queries, databases, and analytics-ready datasets.
- Extracts, cleans, and integrates data from Epic, Cosmos, or similar Electronic Health Record (EHR) Platforms, Research Electronic Data Capture (REDCap), and other research systems.
- Collaborates with researchers to translate research questions into technical data solutions.
- Ensures data quality, security, Health Insurance Portability and Accountability Act (HIPAA) compliance, and reproducible workflows.
- Documents data pipeline and support continuous improvement of research data infrastructure.
DECISION MAKING
Independent judgment in making decisions involving non-routine problems under general supervision.
WORKING RELATIONSHIPS
Works with other healthcare professionals and staff. Works frequently with individuals at Director level or above.
SPECIAL JOB DIMENSIONS
None.
SUPPLEMENTAL INFORMATION
This document generally describes the essential functions of the job and the physical demands required to perform the job. This compilation of essential functions and physical demands is not all inclusive nor does it prohibit the assignment of additional duties.
LOCATION
Tulsa, Oklahoma 74136
EOE Protected Veterans/Disability
Analytics Engineer Job Roles in Oklahoma
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Search Analytics Engineer Jobs in OklahomaAnalytics Engineer Jobs in Oklahoma: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Oklahoma?
Energy sector employers are the most active sponsors for analytics engineers in Oklahoma. Williams Companies and ONEOK in Tulsa have filed H-1B visa Labor Condition Applications for data and analytics roles. Oklahoma City-based INTEGRIS Health and Hobby Lobby have also sponsored analytics talent. Larger employers with established HR and legal infrastructure are generally more willing to navigate the sponsorship process for qualified candidates.
Which visa types are most common for analytics engineer roles in Oklahoma?
The H-1B is the most common visa for analytics 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-1B visas through multinational employers occasionally transfer into analytics engineer roles. Australians may also pursue the E-3 visa, which follows a similar process but without the H-1B lottery.
Which cities in Oklahoma have the most analytics engineer sponsorship jobs?
Tulsa and Oklahoma City account for the overwhelming majority of analytics engineer sponsorship activity in Oklahoma. Tulsa's energy sector generates consistent demand for data transformation and pipeline roles, particularly at midstream companies. Oklahoma City has a broader employer mix spanning healthcare, retail, and government contractors. Outside these two metros, sponsorship opportunities are limited, so most international job seekers focus their search on these cities.
How to find analytics engineer visa sponsorship jobs in Oklahoma?
Migrate Mate is built specifically for this search, filtering analytics engineer roles in Oklahoma by visa sponsorship willingness so you're not sifting through listings that won't support international candidates. The platform surfaces employers with a documented history of H-1B filings for data and analytics positions, which is particularly useful for identifying active sponsors in Tulsa's energy corridor and Oklahoma City's healthcare and finance sectors.
Are there any state-specific considerations for analytics engineers seeking sponsorship in Oklahoma?
Oklahoma's economy is heavily tied to energy, which shapes what analytics engineer roles look like here. Many positions involve operational data, pipeline monitoring, or commodity analytics rather than the consumer-facing data products common in coastal tech hubs. Oklahoma State University and the University of Oklahoma produce local data talent, but demand still outpaces supply for experienced analytics engineers, which supports sponsorship viability for strong international candidates at larger employers.
What is the prevailing wage for sponsored 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.