Green Card Healthcare Data Analyst Jobs
Healthcare Data Analyst roles qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, which requires employers to document recruitment efforts before filing your I-140 petition. Health systems, insurers, and analytics firms regularly sponsor foreign professionals in this role, particularly candidates with advanced degrees in biostatistics, health informatics, or a related quantitative field.
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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.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Healthcare Data Analyst
Align your credentials to PERM job requirements
PERM requires your education and experience to match the job description exactly. Make sure your degree transcripts, foreign credential evaluations, and prior job titles reflect the specific requirements your sponsoring employer lists in the labor certification.
Target employers with active EB-3 filing history
Health systems and hospital networks are among the most consistent EB-3 sponsors for data roles. Search OFLC disclosure data filtered to SOC code 15-2041 to identify which employers have filed PERM applications for Healthcare Data Analyst positions in recent years.
Use Migrate Mate to find sponsoring employers
Filtering job postings by green card sponsorship history saves weeks of research. Migrate Mate surfaces Healthcare Data Analyst roles at employers with verified PERM filing records, so you target your applications where sponsorship is already established practice.
Verify your wage level matches the PERM prevailing wage
DOL assigns a prevailing wage tier to your role based on duties and geography. Before negotiating your offer, check the OFLC Wage Search to confirm your offered salary meets at least the Level II or Level III threshold for your work location.
Ask about the employer's PERM recruitment timeline early
PERM labor certification can take nine to eighteen months before the I-140 is even filed. During interviews, ask whether the employer has completed a PERM for this role before, since a fresh recruitment process adds significant time to your green card timeline.
Understand EB-2 versus EB-3 classification for your profile
If your role requires only a bachelor's degree, USCIS will likely classify you under EB-3. A master's in health informatics or biostatistics can qualify you for EB-2, which may reduce your wait time depending on your country of birth and the current priority date bulletin.
Green Card Healthcare Data Analyst: Frequently Asked Questions
Does a Healthcare Data Analyst role qualify for an EB-2 or EB-3 green card?
Most Healthcare Data Analyst positions qualify under EB-3, which covers skilled workers and professionals with a bachelor's degree. If the role requires an advanced degree or you hold a master's in a relevant quantitative field such as biostatistics or health informatics, USCIS may approve EB-2 classification, which can offer a shorter wait for nationals of countries without significant backlogs.
How does green card sponsorship differ from H-1B sponsorship for this role?
Unlike the H-1B visa, EB-3 green card sponsorship is not subject to an annual lottery. PERM requires your employer to complete a formal DOL recruitment process demonstrating no qualified U.S. workers are available. The overall timeline is longer, often three to five years including PERM and I-140 processing, but the outcome is permanent residency rather than temporary status that requires periodic renewal.
How can I find Healthcare Data Analyst jobs that include green card sponsorship?
Standard job postings rarely specify PERM sponsorship because employers don't advertise it during initial recruitment. Migrate Mate surfaces Healthcare Data Analyst roles at employers with documented PERM filing history, letting you focus your applications on organizations that have already sponsored foreign workers in comparable positions.
What does the PERM process look like for a Healthcare Data Analyst position?
Your employer files a prevailing wage request with DOL, then conducts mandatory recruitment over a defined window, typically 30 to 180 days. If no qualified U.S. applicants are found, they submit the PERM application to the Office of Foreign Labor Certification. Once certified, your employer files the I-140 petition with USCIS, which establishes your priority date for permanent residency.
What role does the O*NET classification play in my green card petition?
The O*NET occupation profile for Healthcare Data Analyst informs how DOL classifies your role and sets the prevailing wage tier assigned to your PERM application. If your actual duties span multiple SOC codes, your employer's attorney needs to align the job description carefully to the O*NET definition to avoid a wage or classification mismatch that could delay or invalidate the certification.