Analytics Engineer Visa Sponsorship Jobs in West Virginia
Analytics engineer roles in West Virginia are concentrated around Charleston, Morgantown, and Huntington, with employers in healthcare systems like WVU Medicine, energy and utilities companies, and state government agencies driving demand. Organizations in these sectors regularly work with international candidates and have sponsored H-1B visas for data and engineering roles.
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Get Access To All JobsINTRODUCTION
The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for an (Onsite) Biomedical Data Engineer.
Rockefeller Neuroscience Institute
The WVU Rockefeller Neuroscience Institute (RNI) is a comprehensive multidisciplinary patient care, education, and research institute providing neurological and mental healthcare through more than 300,000 visits annually. The 300+ physicians and scientists of the RNI improve lives by pioneering advances in neuroscience, brain health, and therapeutics. The RNI team uses the latest technologies with academic, government, and industry partners to make tangible progress to combat public health challenges ranging from addiction to Alzheimer’s disease.
The RNI’s flagship facilities are located on the WVU Health Sciences campus in Morgantown, with more than 2,200 dedicated team members across seven departments, patient care units, and research laboratories. For more information, visit WVUMedicine.org/RNI.
About the Opportunity
We are seeking a Biomedical Data Engineer with strong experience in MATLAB, AWS cloud services, data engineering, and dashboard development. This role will support biomedical, clinical, and research data initiatives by building reliable data pipelines that fetch, organize, store, transform, and present data in meaningful ways for researchers, clinicians, and leadership teams.
The ideal candidate understands how to work with complex biomedical datasets, sensor or device-generated data, clinical research data, and structured or semi-structured data sources. This person should be comfortable turning raw data into clean, usable datasets and supporting dashboards that help teams make informed decisions.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
- 37.5-hour work week
- 13 paid holidays (staff holiday calendar)
- 24 annual leave (vacation) days per year (employee leave)
- 18 sick days per year (for when you’re ill, for when you need time to care for sick family, for your own, or your family’s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
- WVU offers a range of health insurance and other benefits
- 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ’s.
- Wellness programs
-
Data Fetching and Integration:
Build and maintain data pipelines to retrieve data from multiple sources, including biomedical devices, research systems, APIs, databases, flat files, and cloud storage.
Work with structured, semi-structured, and time-series biomedical data.
Support ingestion of MATLAB-generated data, CSV files, JSON, SQL data, and other scientific data formats.
Collaborate with software, clinical, and research teams to understand data source requirements. -
Data Organization and Storage:
Design scalable data structures for storing biomedical and research data.
Organize raw, processed, and analytics-ready datasets in AWS environments.
Support cloud-based storage using services such as Amazon S3, RDS, Redshift, Glue, Athena, or similar tools.
Ensure data is stored in a secure, traceable, and well-documented manner. -
Data Transformation and Quality:
Develop ETL/ELT workflows to clean, normalize, validate, and transform data.
Convert raw biomedical data into meaningful analytics-ready tables and datasets.
Perform data quality checks, anomaly detection, and validation routines.
Maintain documentation for data pipelines, data dictionaries, and transformation logic. -
MATLAB and Scientific Computing:
Work with MATLAB scripts, toolboxes, and biomedical signal or research data workflows.
Convert or operationalize MATLAB-based logic into repeatable data processing pipelines.
Collaborate with researchers and scientists who use MATLAB for analysis.
Help migrate or integrate MATLAB outputs into cloud-based data platforms. -
Dashboards and Reporting:
Build meaningful dashboards and visualizations for biomedical, clinical, and operational insights.
Translate complex datasets into easy-to-understand metrics, trends, and visual summaries.
Support dashboard tools such as Plotly Dash, QuickSight, Tableau, Power BI, or similar platforms.
Work with stakeholders to define KPIs, data views, filters, and reporting needs. -
Security and Compliance:
Follow best practices for handling sensitive biomedical, clinical, and research data.
Support HIPAA-aware data workflows where applicable.
Implement secure access controls, logging, and data governance practices.
Work with teams to ensure proper data privacy, security, and compliance standards.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, Statistics, or a related field.
- A minimum of two (2) years of experience in the following:
- Hands-on experience with MATLAB for data processing, analysis, or scientific computing.
- MATLAB, AWS, SQL, Python, ETL/ELT, data pipelines, data modeling, dashboarding
- Any equivalent combination of related education and/or experience will be considered.
- All qualifications must be met by the time of employment.
Knowledge, Skills and Abilities
- Experience with AWS cloud services, especially data-related services such as S3, RDS, Redshift, Glue, Lambda, Athena, or CloudWatch.
- Strong SQL skills and experience working with relational databases.
- Experience building data pipelines for ingestion, transformation, and reporting.
- Familiarity with Python, especially for data engineering or analytics workflows.
- Ability to work with large, complex, and messy datasets.
- Strong understanding of data modeling, data quality, and documentation.
- Ability to communicate clearly with technical and non-technical stakeholders.
PREFERRED QUALIFICATIONS
- Experience in biomedical, healthcare, neuroscience, clinical research, digital health, or life sciences environments.
- Experience with time-series data, wearable device data, sensor data, imaging metadata, or physiological signal data.
- Familiarity with EHR data, or clinical data standards.
- Experience with data visualization tools such as Plotly Dash, QuickSight, Tableau, or Power BI.
- Experience with AWS Lambda, Step Functions, Glue jobs, Redshift Spectrum, or serverless data pipelines.
- Knowledge of HIPAA, data privacy, and research data governance.
- Experience converting research prototypes into production-ready data workflows.
- Familiarity with Git, CI/CD, Jira, Confluence, or Agile development practices.
- Amazon S3, Redshift, RDS, Glue, Athena, Lambda, QuickSight, Plotly Dash, APIs, JSON, CSV, Git, FHIR, biomedical signal processing
ABOUT WVU
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.
Job Posting: May 28, 2026
Posting Classification: Non-Classified
Exemption Status: Exempt
Benefits Eligible: Yes
Schedule: Full-time
INTRODUCTION
The Rockefeller Neuroscience Institute at West Virginia University is currently accepting applications for an (Onsite) Biomedical Data Engineer.
Rockefeller Neuroscience Institute
The WVU Rockefeller Neuroscience Institute (RNI) is a comprehensive multidisciplinary patient care, education, and research institute providing neurological and mental healthcare through more than 300,000 visits annually. The 300+ physicians and scientists of the RNI improve lives by pioneering advances in neuroscience, brain health, and therapeutics. The RNI team uses the latest technologies with academic, government, and industry partners to make tangible progress to combat public health challenges ranging from addiction to Alzheimer’s disease.
The RNI’s flagship facilities are located on the WVU Health Sciences campus in Morgantown, with more than 2,200 dedicated team members across seven departments, patient care units, and research laboratories. For more information, visit WVUMedicine.org/RNI.
About the Opportunity
We are seeking a Biomedical Data Engineer with strong experience in MATLAB, AWS cloud services, data engineering, and dashboard development. This role will support biomedical, clinical, and research data initiatives by building reliable data pipelines that fetch, organize, store, transform, and present data in meaningful ways for researchers, clinicians, and leadership teams.
The ideal candidate understands how to work with complex biomedical datasets, sensor or device-generated data, clinical research data, and structured or semi-structured data sources. This person should be comfortable turning raw data into clean, usable datasets and supporting dashboards that help teams make informed decisions.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:
- 37.5-hour work week
- 13 paid holidays (staff holiday calendar)
- 24 annual leave (vacation) days per year (employee leave)
- 18 sick days per year (for when you’re ill, for when you need time to care for sick family, for your own, or your family’s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)
- WVU offers a range of health insurance and other benefits
- 401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ’s.
- Wellness programs
-
Data Fetching and Integration:
Build and maintain data pipelines to retrieve data from multiple sources, including biomedical devices, research systems, APIs, databases, flat files, and cloud storage.
Work with structured, semi-structured, and time-series biomedical data.
Support ingestion of MATLAB-generated data, CSV files, JSON, SQL data, and other scientific data formats.
Collaborate with software, clinical, and research teams to understand data source requirements. -
Data Organization and Storage:
Design scalable data structures for storing biomedical and research data.
Organize raw, processed, and analytics-ready datasets in AWS environments.
Support cloud-based storage using services such as Amazon S3, RDS, Redshift, Glue, Athena, or similar tools.
Ensure data is stored in a secure, traceable, and well-documented manner. -
Data Transformation and Quality:
Develop ETL/ELT workflows to clean, normalize, validate, and transform data.
Convert raw biomedical data into meaningful analytics-ready tables and datasets.
Perform data quality checks, anomaly detection, and validation routines.
Maintain documentation for data pipelines, data dictionaries, and transformation logic. -
MATLAB and Scientific Computing:
Work with MATLAB scripts, toolboxes, and biomedical signal or research data workflows.
Convert or operationalize MATLAB-based logic into repeatable data processing pipelines.
Collaborate with researchers and scientists who use MATLAB for analysis.
Help migrate or integrate MATLAB outputs into cloud-based data platforms. -
Dashboards and Reporting:
Build meaningful dashboards and visualizations for biomedical, clinical, and operational insights.
Translate complex datasets into easy-to-understand metrics, trends, and visual summaries.
Support dashboard tools such as Plotly Dash, QuickSight, Tableau, Power BI, or similar platforms.
Work with stakeholders to define KPIs, data views, filters, and reporting needs. -
Security and Compliance:
Follow best practices for handling sensitive biomedical, clinical, and research data.
Support HIPAA-aware data workflows where applicable.
Implement secure access controls, logging, and data governance practices.
Work with teams to ensure proper data privacy, security, and compliance standards.
QUALIFICATIONS
- Bachelor’s degree in Computer Science, Data Engineering, Biomedical Engineering, Bioinformatics, Electrical Engineering, Statistics, or a related field.
- A minimum of two (2) years of experience in the following:
- Hands-on experience with MATLAB for data processing, analysis, or scientific computing.
- MATLAB, AWS, SQL, Python, ETL/ELT, data pipelines, data modeling, dashboarding
- Any equivalent combination of related education and/or experience will be considered.
- All qualifications must be met by the time of employment.
Knowledge, Skills and Abilities
- Experience with AWS cloud services, especially data-related services such as S3, RDS, Redshift, Glue, Lambda, Athena, or CloudWatch.
- Strong SQL skills and experience working with relational databases.
- Experience building data pipelines for ingestion, transformation, and reporting.
- Familiarity with Python, especially for data engineering or analytics workflows.
- Ability to work with large, complex, and messy datasets.
- Strong understanding of data modeling, data quality, and documentation.
- Ability to communicate clearly with technical and non-technical stakeholders.
PREFERRED QUALIFICATIONS
- Experience in biomedical, healthcare, neuroscience, clinical research, digital health, or life sciences environments.
- Experience with time-series data, wearable device data, sensor data, imaging metadata, or physiological signal data.
- Familiarity with EHR data, or clinical data standards.
- Experience with data visualization tools such as Plotly Dash, QuickSight, Tableau, or Power BI.
- Experience with AWS Lambda, Step Functions, Glue jobs, Redshift Spectrum, or serverless data pipelines.
- Knowledge of HIPAA, data privacy, and research data governance.
- Experience converting research prototypes into production-ready data workflows.
- Familiarity with Git, CI/CD, Jira, Confluence, or Agile development practices.
- Amazon S3, Redshift, RDS, Glue, Athena, Lambda, QuickSight, Plotly Dash, APIs, JSON, CSV, Git, FHIR, biomedical signal processing
ABOUT WVU
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.
Job Posting: May 28, 2026
Posting Classification: Non-Classified
Exemption Status: Exempt
Benefits Eligible: Yes
Schedule: Full-time
Analytics Engineer Job Roles in West Virginia
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Search Analytics Engineer Jobs in West VirginiaAnalytics Engineer Jobs in West Virginia: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in West Virginia?
WVU Medicine and West Virginia University are among the more active sponsors for data and analytics roles in the state, given their scale and technical staffing needs. Energy companies operating in the region, along with state government contractors and consulting firms in Charleston, have also filed H-1B petitions for data engineering positions. Sponsorship activity is more limited than in major metro markets, so verifying a specific employer's history before applying is worthwhile.
Which visa types are most common for analytics engineer roles in West Virginia?
The H-1B is the most common visa category for analytics engineer positions in West Virginia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like computer science, information systems, or statistics. Some candidates at West Virginia University or affiliated research institutions may also encounter J-1 visa or OPT pathways. TN visa status is available for Canadian and Mexican nationals in qualifying computer-related occupations.
Which cities in West Virginia have the most analytics engineer sponsorship jobs?
Morgantown leads due to the presence of West Virginia University and its affiliated health system, which generate consistent demand for data and analytics professionals. Charleston, as the state capital and commercial center, hosts government agencies, healthcare networks, and consulting firms that occasionally sponsor for these roles. Huntington, home to Marshall University and a regional medical center, is a smaller but notable market for analytics talent.
How to find analytics engineer visa sponsorship jobs in West Virginia?
Migrate Mate is built specifically for international candidates searching for visa sponsorship roles, including analytics engineer positions in West Virginia. You can filter by state and role to surface employers who have a documented history of sponsoring work visas for this type of position. Because West Virginia has a smaller tech market than coastal states, setting up alerts and checking regularly gives you an advantage when relevant openings appear.
Are there state-specific factors that affect analytics engineer sponsorship in West Virginia?
West Virginia's tech sector is smaller and more concentrated in healthcare, energy, and public sector industries than in states with large metro hubs. This means fewer total sponsorship opportunities, but also less competition for roles at major employers like WVU Medicine or state agencies. The prevailing wage requirement for H-1B petitions applies here as in any state, and employers must meet Department of Labor wage levels specific to the Charleston or Morgantown metropolitan statistical areas.
What is the prevailing wage for sponsored analytics engineer jobs in West Virginia?
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.