STEM OPT Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles in distributed systems, data platform architecture, and ML infrastructure qualify for STEM OPT. Your STEM degree in computer science, data science, or a related field unlocks the 24-month extension, giving you up to 36 months total to work for any E-Verify-enrolled employer.
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16334
Location
Arlington, TX
Full/Part Time
Full-Time
Regular/Temporary
Regular
Salary
The annual salary for this position ranges from $92,100 to $130,000. The final offer will be commensurate with the candidate’s relevant experience and qualifications.
Documents Needed to Apply
Required:
- Resume
- Cover letter
- References (minimum of three)
Purpose of Position
This role supports the development of UTA’s healthcare informatics research and education programs in collaboration with Cook Children’s Health Care System. The position focuses on turning clinical and real-world data into meaningful research, education, and evidence-based insights. The individual will work closely with faculty, clinicians, and data teams to design studies, analyze data, and support publication.
Essential Functions
- Builds and supports UTA’s healthcare informatics education and research program in collaboration with Cook Children’s Health Care System, including clinical research, real-world evidence, and data-driven education initiatives.
- Develop and support scalable infrastructure, tools, workflows, cohorts, data specifications, and reproducible research processes for clinical and real-world healthcare data projects.
- Conduct analyses using clinical and real-world healthcare data to generate insights, reports, publication-ready outputs, and findings for academic, clinical, and operational stakeholders.
- Collaborate with clinicians, researchers, and technical teams to translate clinical and research questions into structured study designs, analytical plans, and data approaches.
- Lead or contribute to manuscripts, abstracts, reports, and presentations for academic, clinical, and operational audiences.
- Provide training, mentorship, and guidance to faculty, students, and collaborators on clinical data science, research methods, study design, and analytical best practices.
- Apply clinical informatics, epidemiologic, cohort development, phenotype definition, data validation, governance, privacy, security, and regulatory methods to ensure research quality, validity, reproducibility, and compliance when working with sensitive clinical data.
- Performs other duties as assigned.
Required Qualifications
Doctoral degree or clinical doctorate with research training, such as a PhD, DrPH, MD, DO, PharmD, DNP, or equivalent, or master’s-level training with substantial applied healthcare data research experience and three (3) years of experience conducting healthcare data research, including experience with statistical analysis, study design, and working with clinical or real-world healthcare data.
Preferred Qualifications
- Doctoral or clinical doctorate, such as a PhD, MD, DrPH, or equivalent experience, with experience using Epic systems, Cosmos, or similar healthcare data platforms.
- Preferred experience also includes clinical informatics, epidemiology, or real-world evidence research, as well as scientific writing and publication.
Knowledge, Skills & Abilities
- Proficiency in at least one analytic tool (e.g., SQL, R, Python, SAS, or similar).
- Strong understanding of clinical data, study design, and statistical methods.
- Ability to translate clinical questions into analytical approaches.
- Strong data analysis and problem-solving skills.
- Effective communication with both technical and non-technical audience.
- Ability to work collaboratively across teams and disciplines.
Work Schedule
Monday through Friday; 8:00am through 5:00pm. In-Office.
Working Conditions
- Designated essential personnel; may work off-site for critical operations.
- Position may be designated security-sensitive based on job duties or location.
Benefits Information
Position is benefit eligible: Yes
We are proud to offer a comprehensive benefits package to our employees at the University.
PreEmployment Background Check
It is the policy of The University of Texas at Arlington to conduct a pre-employment background check on any applicant who is under final consideration for employment with the University.
This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA 48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times’ “Best for Vets: Colleges” and is the top university in North Texas for its graduates’ salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university’s strategic growth and commitment to serving the broader community.
This is an exciting time to join UTA and contribute to its bold vision for the future.
EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University’s compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Job ID
16334
Location
Arlington, TX
Full/Part Time
Full-Time
Regular/Temporary
Regular
Salary
The annual salary for this position ranges from $92,100 to $130,000. The final offer will be commensurate with the candidate’s relevant experience and qualifications.
Documents Needed to Apply
Required:
- Resume
- Cover letter
- References (minimum of three)
Purpose of Position
This role supports the development of UTA’s healthcare informatics research and education programs in collaboration with Cook Children’s Health Care System. The position focuses on turning clinical and real-world data into meaningful research, education, and evidence-based insights. The individual will work closely with faculty, clinicians, and data teams to design studies, analyze data, and support publication.
Essential Functions
- Builds and supports UTA’s healthcare informatics education and research program in collaboration with Cook Children’s Health Care System, including clinical research, real-world evidence, and data-driven education initiatives.
- Develop and support scalable infrastructure, tools, workflows, cohorts, data specifications, and reproducible research processes for clinical and real-world healthcare data projects.
- Conduct analyses using clinical and real-world healthcare data to generate insights, reports, publication-ready outputs, and findings for academic, clinical, and operational stakeholders.
- Collaborate with clinicians, researchers, and technical teams to translate clinical and research questions into structured study designs, analytical plans, and data approaches.
- Lead or contribute to manuscripts, abstracts, reports, and presentations for academic, clinical, and operational audiences.
- Provide training, mentorship, and guidance to faculty, students, and collaborators on clinical data science, research methods, study design, and analytical best practices.
- Apply clinical informatics, epidemiologic, cohort development, phenotype definition, data validation, governance, privacy, security, and regulatory methods to ensure research quality, validity, reproducibility, and compliance when working with sensitive clinical data.
- Performs other duties as assigned.
Required Qualifications
Doctoral degree or clinical doctorate with research training, such as a PhD, DrPH, MD, DO, PharmD, DNP, or equivalent, or master’s-level training with substantial applied healthcare data research experience and three (3) years of experience conducting healthcare data research, including experience with statistical analysis, study design, and working with clinical or real-world healthcare data.
Preferred Qualifications
- Doctoral or clinical doctorate, such as a PhD, MD, DrPH, or equivalent experience, with experience using Epic systems, Cosmos, or similar healthcare data platforms.
- Preferred experience also includes clinical informatics, epidemiology, or real-world evidence research, as well as scientific writing and publication.
Knowledge, Skills & Abilities
- Proficiency in at least one analytic tool (e.g., SQL, R, Python, SAS, or similar).
- Strong understanding of clinical data, study design, and statistical methods.
- Ability to translate clinical questions into analytical approaches.
- Strong data analysis and problem-solving skills.
- Effective communication with both technical and non-technical audience.
- Ability to work collaboratively across teams and disciplines.
Work Schedule
Monday through Friday; 8:00am through 5:00pm. In-Office.
Working Conditions
- Designated essential personnel; may work off-site for critical operations.
- Position may be designated security-sensitive based on job duties or location.
Benefits Information
Position is benefit eligible: Yes
We are proud to offer a comprehensive benefits package to our employees at the University.
PreEmployment Background Check
It is the policy of The University of Texas at Arlington to conduct a pre-employment background check on any applicant who is under final consideration for employment with the University.
This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA 48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times’ “Best for Vets: Colleges” and is the top university in North Texas for its graduates’ salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university’s strategic growth and commitment to serving the broader community.
This is an exciting time to join UTA and contribute to its bold vision for the future.
EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University’s compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
See all 123+ STEM OPT Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior Staff Data Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Staff Data Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field on the DHS STEM Designated Degree Program List. Data engineering roles often require computer science or information systems CIP codes, and a mismatch can disqualify your extension request.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify company ID or have HR confirm active enrollment in writing. Not every employer knows their own status off the top of their head, and a company that isn't enrolled cannot legally employ you on STEM OPT.
Target companies with active data engineering LCA filings
Use Migrate Mate to filter employers by verified DOL Labor Condition Application filings for data engineering roles. This surfaces companies that have already navigated the STEM OPT and H-1B visa pipeline, not just companies that say they sponsor.
Negotiate your I-983 training plan before your start date
The I-983 must detail the specific technical skills, tools, and learning objectives tied to your Senior Staff Data Engineer responsibilities. Push for sign-off before day one so your DSO can update your SEVIS record without delaying your authorization.
Understand cap-gap if your H-1B is selected
If you're in your final OPT months when USCIS selects your H-1B registration, cap-gap automatically extends your work authorization through September 30 of the fiscal year. You can keep working in your data engineering role without interruption if your employer files a timely petition.
Cross-reference wage levels using OFLC Wage Search
Senior Staff Data Engineer is a Level III or IV wage position in most metro areas. Run the OFLC Wage Search to confirm your offer aligns with the prevailing wage for your SOC code and location before signing, since underpayment can trigger compliance issues during H-1B filing.
Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify for the STEM OPT extension?
Yes, if your underlying degree is in a DHS-designated STEM field such as computer science, electrical engineering, statistics, or information systems, and the role itself requires that technical foundation. Senior Staff Data Engineer positions typically involve distributed systems design, data pipeline architecture, or ML platform work, all of which align with STEM degree requirements. Confirm your degree's CIP code on the DHS STEM Designated Degree Program List before filing.
What E-Verify obligation does my employer have for STEM OPT?
Your employer must be actively enrolled in E-Verify before your STEM OPT extension begins, and they must run your employment verification through the system within three business days of your start date. E-Verify enrollment is a hard legal requirement under ICE SEVIS regulations, not optional. Ask your HR contact to confirm the company's E-Verify company ID in writing before accepting any offer.
What goes into an I-983 training plan for a Senior Staff Data Engineer?
The I-983 must document your specific learning objectives tied to the role, the technical skills and tools you'll develop such as Apache Spark, Kafka, or cloud data platform architecture, how those skills connect to your STEM degree, and how your employer will supervise and evaluate your progress. Vague job descriptions get rejected by DSOs. Work with your hiring manager to draft measurable goals before submitting the form.
How do I find Senior Staff Data Engineer employers who are enrolled in E-Verify?
Migrate Mate filters data engineering roles by verified E-Verify enrollment and active DOL Labor Condition Application filings, so you're only looking at employers who have already cleared the compliance bar. This saves you from applying broadly and discovering E-Verify gaps only after an offer, which is a common and frustrating outcome for STEM OPT students targeting senior-level engineering roles.
How does cap-gap affect me as a Senior Staff Data Engineer on STEM OPT?
If USCIS selects your H-1B registration during your STEM OPT period and your employer files your petition before your OPT expires, cap-gap automatically extends your work authorization through September 30. You can continue working in your Senior Staff Data Engineer role without a gap in employment. USCIS requires a timely-filed petition for cap-gap to apply, so coordinate closely with your employer on the filing timeline.