H-1B Visa Healthcare Data Analyst Jobs
Healthcare Data Analyst roles qualify for H-1B visa sponsorship as specialty occupations requiring a bachelor's degree or higher in health informatics, statistics, biomedical engineering, or a related field. Employers in health systems, payers, and pharma regularly file LCAs for these roles, and the position's SOC code directly shapes your prevailing wage level.
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Get Access To All JobsINTRODUCTION
Job Title: Data Engineers
Working Title: Healthcare Data Engineer IV
Career Progression Track: P00
Track Level: P4 - Advanced
FLSA Code: Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week: 40
Full Time or Part Time? Full Time
Shift: Day
Work Schedule Summary: M-F 8-5p
VP Area: U of U Health - Academics
Department: 00943 - HSC Core Resrch Facility Oper
Location: Campus
City: Salt Lake City, UT
Type of Recruitment: External Posting
Pay Rate Range: 105,000.00-145,000.00
Close Date: 03/01/2027
Priority Review Date (Note - Posting may close at any time): 09/01/2026
JOB SUMMARY
Data Engineers
Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
Responsibilities
Data Engineer, IV
- Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.
- Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier.
- Write complex SQL queries to support analytics needs.
- Evaluate and recommend tools and technologies for data infrastructure and processing.
- Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines.
- Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom.
- Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
- Recognized as subject matter expert and advanced individual contributor professional.
- Requires specialized skill set.
- Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.
- Work collaboratively with end-users including researchers to recommend strategies for problem analysis, study design, and apply rigorous data science methods.
- Serve as the front-line support for data-related questions from end-users, and be responsible for standardization, documentation, and maintaining a repertoire of answers and solutions to common problems.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Data Engineer, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.
PREFERENCES
Type: Benefited Staff
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.
Online reports may be submitted at https://oeo.utah.edu.
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
INTRODUCTION
Job Title: Data Engineers
Working Title: Healthcare Data Engineer IV
Career Progression Track: P00
Track Level: P4 - Advanced
FLSA Code: Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week: 40
Full Time or Part Time? Full Time
Shift: Day
Work Schedule Summary: M-F 8-5p
VP Area: U of U Health - Academics
Department: 00943 - HSC Core Resrch Facility Oper
Location: Campus
City: Salt Lake City, UT
Type of Recruitment: External Posting
Pay Rate Range: 105,000.00-145,000.00
Close Date: 03/01/2027
Priority Review Date (Note - Posting may close at any time): 09/01/2026
JOB SUMMARY
Data Engineers
Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
Responsibilities
Data Engineer, IV
- Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources.
- Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier.
- Write complex SQL queries to support analytics needs.
- Evaluate and recommend tools and technologies for data infrastructure and processing.
- Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines.
- Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom.
- Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
- Recognized as subject matter expert and advanced individual contributor professional.
- Requires specialized skill set.
- Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.
- Work collaboratively with end-users including researchers to recommend strategies for problem analysis, study design, and apply rigorous data science methods.
- Serve as the front-line support for data-related questions from end-users, and be responsible for standardization, documentation, and maintaining a repertoire of answers and solutions to common problems.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Data Engineer, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.
PREFERENCES
Type: Benefited Staff
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page.
Online reports may be submitted at https://oeo.utah.edu.
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
See all H-1B Visa Healthcare Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Healthcare Data Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Healthcare Data Analyst
Align your degree to the SOC code
Your H-1B petition lives or dies on the specialty occupation argument. Pull the O*NET profile for your target SOC code and confirm your degree field matches the listed education requirements before you apply anywhere.
Filter employers by LCA filing history
Use Migrate Mate to search Healthcare Data Analyst roles filtered by verified DOL LCA filing history, so every employer you contact has already demonstrated willingness to sponsor H-1B workers in this specific occupation.
Target health systems over staffing firms
Health systems, payers, and pharma manufacturers file H-1B petitions as direct employers. Staffing and consulting firms add a third-party placement layer that USCIS scrutinizes more heavily for specialty occupation evidence.
Check the prevailing wage before negotiating salary
Run your target job title and work location through the OFLC Wage Search before salary discussions. Your employer must pay at least the DOL prevailing wage for the applicable level, so knowing Level I through Level IV thresholds strengthens your negotiating position.
Request premium processing at petition filing
Healthcare analytics hiring cycles move fast. Ask your employer to file with USCIS premium processing so adjudication comes back within 15 business days, keeping your start date on track and reducing the risk of offer withdrawal during a long wait.
Document analytics tools and methods in your offer letter
USCIS RFEs for data analyst roles often challenge specialty occupation by arguing the work is generalist. An offer letter that names specific tools, clinical data systems, or statistical methodologies you'll use builds a stronger specialty occupation record from day one.
H-1B Visa Healthcare Data Analyst: Frequently Asked Questions
Does a Healthcare Data Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, provided the employer requires a bachelor's degree or higher in a directly related field such as health informatics, biostatistics, or computer science. Roles where any bachelor's degree is accepted regardless of field are vulnerable to USCIS specialty occupation challenges, so your offer letter and job description should specify the required degree discipline.
Which industries sponsor H-1B visas most frequently for Healthcare Data Analyst positions?
Health systems, hospital networks, managed care organizations, pharmaceutical companies, and health technology vendors are the most active H-1B filers for this role. Government contractors working on public health data programs also sponsor regularly. You can browse employers with verified LCA filing history for this occupation on Migrate Mate.
How does the prevailing wage requirement affect Healthcare Data Analyst H-1B petitions?
Your employer must pay at least the DOL prevailing wage for the applicable wage level in the work location. Wage levels run from Level I for entry-level analysts to Level IV for senior roles with specialized expertise. The specific SOC code your employer assigns to the position determines which wage series applies, so confirm the SOC code matches your actual duties before the LCA is filed.
Can I transfer my H-1B to a new healthcare employer if I change jobs?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new petition is filed with USCIS, without waiting for approval, as long as you've been in valid H-1B status for at least 180 days. The new employer must file a new I-129 and LCA for the Healthcare Data Analyst role before your first day.
What documentation should I prepare before asking an employer to sponsor my H-1B?
Pull together your degree transcripts, any credential evaluations if your degree is from outside the U.S., your current I-94 record, and prior visa approval notices. For healthcare analytics roles, a portfolio showing clinical or claims data projects, familiarity with health data standards like HL7 or ICD-10, and proficiency in tools like SQL or Python reinforces the specialty occupation argument your employer's immigration attorney will need to build.