E-3 Visa Senior Principal Data Engineer Jobs
Senior Principal Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, data engineering, or a related field. The E-3 has no lottery and no annual cap, making it a faster path to U.S. employment than the H-1B visa for Australian citizens who already hold a qualifying offer.
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Get Access To All JobsINTRODUCTION
Within the Enterprise Data Engineering & Analytics Department, the Principal Data Engineer plays a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business objectives, enterprise data accessibility, and advanced analytics delivery.
The Principal Data Engineer leads the design, development, optimization, and operationalization of enterprise data solutions across the Context Engine framework. The Principal Data Engineer partners with technology, governance, analytics, and business stakeholders to build integrated data pipelines, enable reusable data assets, and accelerate time-to-solution across UT MD Anderson while ensuring compliance with governance, security, and quality standards.
The ideal candidate possesses a preferred Master's Degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience in data modeling and backend development for Epic reporting, cloud-based data pipeline development, building custom objects and data loads in Clarity and Caboodle, Microsoft Fabric, Python, PySpark, and healthcare environments including hospital workflows. The successful candidate demonstrates strong leadership, solution architecture expertise, and the ability to educate and mentor stakeholders on modern data engineering practices.
Minimum $146,500 - Midpoint $183,000 - Maximum $219,500
LOCATION
Work Location: Remote 100% within Texas only
WHY US?
UT MD Anderson offers the opportunity to lead transformative enterprise data initiatives that directly support innovation in healthcare, research, and operational excellence. This role provides exposure to advanced data engineering technologies, enterprise-scale analytics, collaborative partnerships across the institution, and opportunities to develop leadership expertise while maintaining the flexibility of a fully remote Texas-based work environment.
- Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
- Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
- Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
- Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
Responsibilities
Data Engineering - End-to-End Solution Delivery
- Lead end-to-end solution delivery that increases information capabilities and realizes data value across the institution
- Integrate data governance processes through ingestion, ingress, egress, curation, pipeline development, transformation, modeling, visualization, and insights delivery
- Lead planning, architecture, analysis, design, and development of enterprise data pipelines and solutions across the Context Engine
- Partner with Information Services, Data Offices, Data Governance teams, and other stakeholders to manage institutional data efficiently
- Lead development and maintenance of end-to-end data pipelines from acquisition through integration and consumption
- Build and incorporate repeatable solution designs and reusable data models across enterprise platforms
- Develop data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data
- Monitor data quality and data integrity throughout the Context Engine environment
- Incorporate metadata management and governance processes into data ingestion, curation, and pipeline development efforts
- Evaluate and promote modern tools, architectures, and automation techniques to improve productivity and reduce manual processes
Data Governance, Analytics & Quality
- Coordinate compliance with data governance processes and data security requirements
- Manage integrated and reusable data pipelines that improve data access and data reuse
- Ensure data provenance, security, ontology management, and data quality are consistently tracked across solutions
- Partner with Enterprise Data Engineering & Analytics teams to build and support analytics deliverables for production use
- Deliver production-ready analytics assets for key data and analytics consumers
- Support institutional data strategy initiatives through governance oversight and standards adherence
- Perform quality control reviews to ensure solutions are technically sound and aligned with best practices
Standards, Testing & System Maintenance
- Manage and adhere to standard operating procedures established by Information Services and institutional policies
- Maintain build standards and governance sign-off processes supporting the institutional data strategy and Context Engine
- Prepare and manage implementation documentation for enhancements and new technologies
- Follow documented change control procedures and participate in change control audits when required
- Perform testing and quality validation of solutions and review the work of other analysts
- Oversee analytics system updates and new releases for assigned modules
- Ensure adherence to regulatory requirements, quality standards, and operational best practices
- Collaborate with internal and external stakeholders on system and process improvements
- Participate in after-hours application support and downtime procedures
Education, Training & Mentorship
- Train data scientists, analysts, users, and other data consumers on data pipelining and data preparation techniques
- Develop and establish training plans for Context Engine tools and related systems
- Create educational curricula in partnership with training teams and subject matter experts
- Deliver institutional, departmental, and one-on-one training related to Enterprise Data Engineering & Analytics solutions
- Coach and mentor team members across OneIS and the institution
- Provide constructive feedback, technical guidance, and knowledge transfer to less experienced team members
- Build and maintain liaison relationships with customers and OneIS teams to deliver effective technical solutions and customer service
Education
- Required: Bachelor's Degree
- Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
- Required: 7 years Relevant information technology experience or
- Required: 5 years Experience with preferred degree.
- May substitute required education with years of related experience on a one to one basis.
- Preferred: Experience with data modeling and back end for Epic reporting, cloud base data pipeline and development, building custom objects and custom data loads/load packages in Clarity and Caboodle, experience with Microsoft Fabric and building out data engineering pipelines in Fabric using Python, PySpark and related technologies, and healthcare experience including hospital workflows.
LICENSES AND CERTIFICATIONS
- Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.
Additional Information
- Requisition ID: 182128
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 146,500
- Midpoint Salary: US Dollar (USD) 183,000
- Maximum Salary: US Dollar (USD) 219,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Remote (within Texas only)
- Pivotal Position: Yes
- Referral Bonus Available?: Yes
- Relocation Assistance Available?: Yes
LI-Remote
INTRODUCTION
Within the Enterprise Data Engineering & Analytics Department, the Principal Data Engineer plays a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business objectives, enterprise data accessibility, and advanced analytics delivery.
The Principal Data Engineer leads the design, development, optimization, and operationalization of enterprise data solutions across the Context Engine framework. The Principal Data Engineer partners with technology, governance, analytics, and business stakeholders to build integrated data pipelines, enable reusable data assets, and accelerate time-to-solution across UT MD Anderson while ensuring compliance with governance, security, and quality standards.
The ideal candidate possesses a preferred Master's Degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience in data modeling and backend development for Epic reporting, cloud-based data pipeline development, building custom objects and data loads in Clarity and Caboodle, Microsoft Fabric, Python, PySpark, and healthcare environments including hospital workflows. The successful candidate demonstrates strong leadership, solution architecture expertise, and the ability to educate and mentor stakeholders on modern data engineering practices.
Minimum $146,500 - Midpoint $183,000 - Maximum $219,500
LOCATION
Work Location: Remote 100% within Texas only
WHY US?
UT MD Anderson offers the opportunity to lead transformative enterprise data initiatives that directly support innovation in healthcare, research, and operational excellence. This role provides exposure to advanced data engineering technologies, enterprise-scale analytics, collaborative partnerships across the institution, and opportunities to develop leadership expertise while maintaining the flexibility of a fully remote Texas-based work environment.
- Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
- Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
- Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
- Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
Responsibilities
Data Engineering - End-to-End Solution Delivery
- Lead end-to-end solution delivery that increases information capabilities and realizes data value across the institution
- Integrate data governance processes through ingestion, ingress, egress, curation, pipeline development, transformation, modeling, visualization, and insights delivery
- Lead planning, architecture, analysis, design, and development of enterprise data pipelines and solutions across the Context Engine
- Partner with Information Services, Data Offices, Data Governance teams, and other stakeholders to manage institutional data efficiently
- Lead development and maintenance of end-to-end data pipelines from acquisition through integration and consumption
- Build and incorporate repeatable solution designs and reusable data models across enterprise platforms
- Develop data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data
- Monitor data quality and data integrity throughout the Context Engine environment
- Incorporate metadata management and governance processes into data ingestion, curation, and pipeline development efforts
- Evaluate and promote modern tools, architectures, and automation techniques to improve productivity and reduce manual processes
Data Governance, Analytics & Quality
- Coordinate compliance with data governance processes and data security requirements
- Manage integrated and reusable data pipelines that improve data access and data reuse
- Ensure data provenance, security, ontology management, and data quality are consistently tracked across solutions
- Partner with Enterprise Data Engineering & Analytics teams to build and support analytics deliverables for production use
- Deliver production-ready analytics assets for key data and analytics consumers
- Support institutional data strategy initiatives through governance oversight and standards adherence
- Perform quality control reviews to ensure solutions are technically sound and aligned with best practices
Standards, Testing & System Maintenance
- Manage and adhere to standard operating procedures established by Information Services and institutional policies
- Maintain build standards and governance sign-off processes supporting the institutional data strategy and Context Engine
- Prepare and manage implementation documentation for enhancements and new technologies
- Follow documented change control procedures and participate in change control audits when required
- Perform testing and quality validation of solutions and review the work of other analysts
- Oversee analytics system updates and new releases for assigned modules
- Ensure adherence to regulatory requirements, quality standards, and operational best practices
- Collaborate with internal and external stakeholders on system and process improvements
- Participate in after-hours application support and downtime procedures
Education, Training & Mentorship
- Train data scientists, analysts, users, and other data consumers on data pipelining and data preparation techniques
- Develop and establish training plans for Context Engine tools and related systems
- Create educational curricula in partnership with training teams and subject matter experts
- Deliver institutional, departmental, and one-on-one training related to Enterprise Data Engineering & Analytics solutions
- Coach and mentor team members across OneIS and the institution
- Provide constructive feedback, technical guidance, and knowledge transfer to less experienced team members
- Build and maintain liaison relationships with customers and OneIS teams to deliver effective technical solutions and customer service
Education
- Required: Bachelor's Degree
- Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
- Required: 7 years Relevant information technology experience or
- Required: 5 years Experience with preferred degree.
- May substitute required education with years of related experience on a one to one basis.
- Preferred: Experience with data modeling and back end for Epic reporting, cloud base data pipeline and development, building custom objects and custom data loads/load packages in Clarity and Caboodle, experience with Microsoft Fabric and building out data engineering pipelines in Fabric using Python, PySpark and related technologies, and healthcare experience including hospital workflows.
LICENSES AND CERTIFICATIONS
- Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 Days
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.
Additional Information
- Requisition ID: 182128
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 146,500
- Midpoint Salary: US Dollar (USD) 183,000
- Maximum Salary: US Dollar (USD) 219,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Remote (within Texas only)
- Pivotal Position: Yes
- Referral Bonus Available?: Yes
- Relocation Assistance Available?: Yes
LI-Remote
See all 604+ E-3 Visa Senior Principal Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Senior Principal Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Principal Data Engineer
Verify your degree meets specialty occupation
Your Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but your field of study must align with the data engineering role. A degree in computer science or information systems strengthens your case far more than a general IT qualification.
Target employers with active LCA filings
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for senior data engineering titles. Employers already familiar with the process move faster and rarely stall at the sponsorship conversation.
Separate your skills from your visa status early
At senior principal level, hiring managers care about your distributed systems experience and data architecture background first. Frame the E-3 visa as a straightforward employer step rather than an ask, since it requires no lottery and no multi-year timeline.
Confirm E-Verify enrollment before your offer stage
Your employer must be enrolled in E-Verify or willing to enroll before the LCA is filed with DOL. Raise this during the offer negotiation, not after signing, so there are no delays if the company needs to complete enrollment first.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA submission, DS-160, and consulate preparation. Senior-level roles sometimes involve complex compensation structures that require careful prevailing wage documentation.
Start your consulate appointment booking immediately
Australian consulates in Sydney, Melbourne, and Perth each have different appointment availability. Book your slot as soon as the LCA is certified by DOL, since wait times fluctuate and a delayed appointment can push your start date back by weeks.
E-3 Visa Senior Principal Data Engineer: Frequently Asked Questions
Where can I find Senior Principal Data Engineer jobs with E-3 sponsorship?
Migrate Mate lists Senior Principal Data Engineer roles from U.S. employers who are open to E-3 visa sponsorship, so you're not filtering through jobs that won't lead anywhere. At this seniority level, roles are concentrated in cloud infrastructure, fintech, and enterprise data platforms, and Migrate Mate surfaces those opportunities specifically for Australian applicants.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior Principal Data Engineer role qualify as a specialty occupation under the E-3?
Yes. Senior Principal Data Engineer positions consistently meet the specialty occupation standard because they require at least a bachelor's degree in computer science, data engineering, or a closely related field. The role involves designing large-scale data systems and architecting pipelines, which USCIS and DOL treat as requiring specialized theoretical and practical knowledge tied to a specific academic discipline.
How does the E-3 compare to the H-1B for a Senior Principal Data Engineer role?
The E-3 has no annual lottery, so your employer doesn't need to wait for a random selection result in April. You can apply at any time of year once you have a certified LCA and a job offer. The H-1B cap-subject process means most applicants wait at least a year before starting, while E-3 holders can typically begin within weeks of consulate approval.
What happens if my compensation includes equity or bonuses for prevailing wage purposes?
The DOL prevailing wage calculation for your LCA is based on your base salary only, not equity or bonuses. Your employer must certify that your base wage meets or exceeds the prevailing wage for the Senior Principal Data Engineer role in the specific metropolitan area where you'll work, as defined in the DOL's wage database.