E-3 Visa Business Intelligence Engineer Jobs
Business Intelligence Engineer roles qualify as E-3 specialty occupations, requiring a bachelor's degree in computer science, information systems, or a related field. Australian nationals can secure sponsorship without competing in the H-1B lottery, and your E-3 status renews indefinitely as long as you hold a qualifying BI role.
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Get Access To All JobsINTRODUCTION
The Epic Cognito Business Intelligence Developer in Data Engineering is a key role within the Enterprise Data Engineering & Analytics Department, supporting the design, build, and operationalization of enterprise data pipelines and analytics solutions through the Context Engine framework. The Epic Cognito Business Intelligence Developer in Data Engineering partners closely with data engineering, analytics, governance, and information services teams to enable integrated, reusable, and secure data solutions that support digital business initiatives across the institution.
The Epic Cognito Business Intelligence Developer in Data Engineering plays a critical role in advancing MD Anderson Cancer Center's data and analytics capabilities by improving time-to-solution, strengthening data governance, and expanding access to high-quality, trusted data across the enterprise.
The ideal candidate for the Epic Cognito Business Intelligence Developer in Data Engineering holds a bachelor's degree with a preference for a master's degree in business analytics, computer science, information technology, data science, or a related field, has experience in healthcare information technology and is Epic Cognito or Epic Data Model certified while demonstrating strong SQL skills, familiarity with business intelligence tools, and the ability to collaborate across technical and clinical teams.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 per hour based on a 40-hour work week.
Work Location: Remote with Texas only.
Why Us?
This role directly supports MD Anderson's mission by enabling trusted, governed, and timely data that drives clinical, operational, and research insights. The Epic Cognito Business Intelligence Developer in Data Engineering offers meaningful exposure to enterprise-scale data engineering, collaboration with highly skilled technical teams, and opportunities for continued learning and certification within a nationally recognized healthcare institution, while supporting balance through remote work within Texas.
- 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
End-To-End Data Engineering & Solution Delivery
- Participate in end-to-end solution delivery to increase information capabilities and realize enterprise data value.
- Build and test end-to-end data pipelines across ingestion, ingress, egress, curation, transformation, modeling, and consumption within the Context Engine framework.
- Develop data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, aggregating, and monitoring data quality.
- Contribute to repeatable solution designs, reusable data models, and scalable pipeline architectures.
- Partner with IS, Data Offices, Data Governance teams, and other stakeholders to support efficient enterprise data management.
Data Governance, Quality & Security
- Integrate data governance and metadata management processes into data ingestion, curation, and pipeline development.
- Support consistent tracking of data provenance, security, data quality, and ontology across analytics solutions.
- Adhere to data stewardship and governance oversight requirements aligned with institutional data strategy.
Standards, Testing & System Maintenance
- Follow standard operating procedures, documented change control processes, and MD Anderson policies.
- Perform quality control, testing, and peer reviews to ensure technical soundness of analytics solutions.
- Assist with analytics system updates, new releases, after-hours support, and downtime procedures.
- Prepare and maintain technical documentation for enhancements and new technologies.
Collaboration, Innovation & Continuous Improvement
- Work creatively and collaboratively with principal and senior data engineers and enterprise IS teams.
- Explore and promote modern tools, techniques, and architectures to automate repeatable data preparation tasks.
- Support enterprise development, integration, and data science teams in delivering analytics through the Context Engine.
Education, Training & Customer Support
- Train data scientists, analysts, end users, and other data consumers on data pipelining and preparation techniques.
- Assist in developing training plans and curricula for Context Engine tools in partnership with training teams.
- Provide institutional, departmental, and one-on-one training on enterprise data engineering and analytics deliverables.
- Support liaison relationships with customers and OneIS to deliver effective technical solutions and service.
Education
- Required: Bachelor's Degree
- Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
- Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or
- Required: With preferred degree, no experience required.
- May substitute required education with years of related experience on a one to one basis.
- Preferred: Epic certified in Cognito and/or Clinical Data Model, experience with Lumens and/or Inpatient applications in Epic, SQL knowledge, understand how to work in BI tools; creating visual deliverables like Power BI, SAP, Web Intelligence, Tableau.
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.
OTHER REQUIREMENTS: Must pass pre-employment skills test as required and administered by Human Resources.
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: 179875
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 106,500
- Midpoint Salary: US Dollar (USD) 133,000
- Maximum Salary: US Dollar (USD) 159,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Remote (within Texas only)
- Pivotal Position: Yes
- Referral Bonus Available?: No
- Relocation Assistance Available?: No
LI-Remote
INTRODUCTION
The Epic Cognito Business Intelligence Developer in Data Engineering is a key role within the Enterprise Data Engineering & Analytics Department, supporting the design, build, and operationalization of enterprise data pipelines and analytics solutions through the Context Engine framework. The Epic Cognito Business Intelligence Developer in Data Engineering partners closely with data engineering, analytics, governance, and information services teams to enable integrated, reusable, and secure data solutions that support digital business initiatives across the institution.
The Epic Cognito Business Intelligence Developer in Data Engineering plays a critical role in advancing MD Anderson Cancer Center's data and analytics capabilities by improving time-to-solution, strengthening data governance, and expanding access to high-quality, trusted data across the enterprise.
The ideal candidate for the Epic Cognito Business Intelligence Developer in Data Engineering holds a bachelor's degree with a preference for a master's degree in business analytics, computer science, information technology, data science, or a related field, has experience in healthcare information technology and is Epic Cognito or Epic Data Model certified while demonstrating strong SQL skills, familiarity with business intelligence tools, and the ability to collaborate across technical and clinical teams.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 per hour based on a 40-hour work week.
Work Location: Remote with Texas only.
Why Us?
This role directly supports MD Anderson's mission by enabling trusted, governed, and timely data that drives clinical, operational, and research insights. The Epic Cognito Business Intelligence Developer in Data Engineering offers meaningful exposure to enterprise-scale data engineering, collaboration with highly skilled technical teams, and opportunities for continued learning and certification within a nationally recognized healthcare institution, while supporting balance through remote work within Texas.
- 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
End-To-End Data Engineering & Solution Delivery
- Participate in end-to-end solution delivery to increase information capabilities and realize enterprise data value.
- Build and test end-to-end data pipelines across ingestion, ingress, egress, curation, transformation, modeling, and consumption within the Context Engine framework.
- Develop data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, aggregating, and monitoring data quality.
- Contribute to repeatable solution designs, reusable data models, and scalable pipeline architectures.
- Partner with IS, Data Offices, Data Governance teams, and other stakeholders to support efficient enterprise data management.
Data Governance, Quality & Security
- Integrate data governance and metadata management processes into data ingestion, curation, and pipeline development.
- Support consistent tracking of data provenance, security, data quality, and ontology across analytics solutions.
- Adhere to data stewardship and governance oversight requirements aligned with institutional data strategy.
Standards, Testing & System Maintenance
- Follow standard operating procedures, documented change control processes, and MD Anderson policies.
- Perform quality control, testing, and peer reviews to ensure technical soundness of analytics solutions.
- Assist with analytics system updates, new releases, after-hours support, and downtime procedures.
- Prepare and maintain technical documentation for enhancements and new technologies.
Collaboration, Innovation & Continuous Improvement
- Work creatively and collaboratively with principal and senior data engineers and enterprise IS teams.
- Explore and promote modern tools, techniques, and architectures to automate repeatable data preparation tasks.
- Support enterprise development, integration, and data science teams in delivering analytics through the Context Engine.
Education, Training & Customer Support
- Train data scientists, analysts, end users, and other data consumers on data pipelining and preparation techniques.
- Assist in developing training plans and curricula for Context Engine tools in partnership with training teams.
- Provide institutional, departmental, and one-on-one training on enterprise data engineering and analytics deliverables.
- Support liaison relationships with customers and OneIS to deliver effective technical solutions and service.
Education
- Required: Bachelor's Degree
- Preferred: Master's Degree Business Analytics, Computer Science, Information Technology, Data Science, or related.
WORK EXPERIENCE
- Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or
- Required: With preferred degree, no experience required.
- May substitute required education with years of related experience on a one to one basis.
- Preferred: Epic certified in Cognito and/or Clinical Data Model, experience with Lumens and/or Inpatient applications in Epic, SQL knowledge, understand how to work in BI tools; creating visual deliverables like Power BI, SAP, Web Intelligence, Tableau.
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.
OTHER REQUIREMENTS: Must pass pre-employment skills test as required and administered by Human Resources.
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: 179875
- Employment Status: Full-Time
- Employee Status: Regular
- Work Week: Days
- Minimum Salary: US Dollar (USD) 106,500
- Midpoint Salary: US Dollar (USD) 133,000
- Maximum Salary: US Dollar (USD) 159,500
- FLSA: exempt and not eligible for overtime pay
- Fund Type: Hard
- Work Location: Remote (within Texas only)
- Pivotal Position: Yes
- Referral Bonus Available?: No
- Relocation Assistance Available?: No
LI-Remote
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Business Intelligence Engineer
Align your degree to BI job descriptions
U.S. employers assess E-3 eligibility by matching your Australian degree field to the role. A degree in information systems, statistics, or computer science maps cleanly to BI Engineer positions. A business degree alone may trigger an RFE.
Target employers with active LCA filing history
DOL's OFLC disclosure database lists every certified Labor Condition Application by job title and employer. Search for 'Business Intelligence Engineer' or 'BI Developer' to identify companies already experienced with E-3 and H-1B specialty occupation filings.
Use Migrate Mate to find sponsoring employers
Migrate Mate filters BI Engineer roles by E-3 sponsorship history, so you're not cold-applying to companies unfamiliar with Australian visa requirements. Use it to shortlist employers who have already navigated the LCA and consulate process.
Address the specialty occupation question directly
Some employers hesitate because BI Engineer job postings occasionally list a degree as 'preferred' rather than 'required.' Before your offer letter is drafted, confirm with HR that the role description explicitly requires a relevant bachelor's degree to satisfy USCIS standards.
Get your LCA certified before resigning from your current role
Your employer files the LCA with DOL before your consulate appointment. Certification typically takes seven business days. Factor that window into your start date negotiations so your Australian notice period and U.S. start date align without a gap.
Handle paperwork end-to-end through a filing service
Once you have an offer, the LCA, DS-160, and consulate preparation can stall a start date if handled piecemeal. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing back-and-forth with your employer's HR team.
Business Intelligence Engineer jobs are hiring across the US. Find yours.
Find Business Intelligence Engineer JobsBusiness Intelligence Engineer E-3 Visa: Frequently Asked Questions
How do I find Business Intelligence Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces BI Engineer roles from employers with demonstrated E-3 and H-1B sponsorship history, so you can focus on companies already familiar with the LCA filing process. Avoid applying broadly to postings that don't mention visa support, as many U.S. employers won't initiate the process unless you raise it proactively.
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 Business Intelligence Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, information systems, data science, or statistics. USCIS evaluates the job description, not just the title. If the posting lists a degree as preferred rather than required, your employer may need to revise the job description before filing the LCA with DOL.
How does the E-3 visa compare to the H-1B for BI Engineers in the U.S.?
For Australian nationals, the E-3 is far more practical. The H-1B is subject to an annual lottery with a cap of 85,000 slots, meaning selection isn't guaranteed even with a strong application. The E-3 has a 10,500-slot annual allocation that has never been fully used, so there's no lottery and no random selection. Your employer files the LCA with DOL and you proceed directly to a consulate appointment.
Can I switch employers as a Business Intelligence Engineer on an E-3 visa?
Yes, but your new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp, which requires a consulate appointment in Australia or through a third country. There's no portability provision like the one that exists for H-1B holders under AC21. Factor in the LCA certification window and consulate appointment wait times when negotiating your start date with the new employer.
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