Data Engineer - Enterprise Data Engineering & Analytics

University of Texas MD Anderson Cancer Center

Houston, Northern (TX, KY)

Hybrid

USD 107,000 - 160,000

Full time

4 days ago

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Benefits offered by this job

Medical coverage from day one

PTO & holidays

Tuition assistance

Retirement plans

Job summary

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to join the Enterprise Data Engineering & Analytics Department. The Data Engineer will build end-to-end data pipelines, support governance, and deliver production-ready analytics across enterprise teams for faster insights.

Ideal candidates hold a Master's degree in a related field, with Profisee MDM experience or certification preferred, and a strong SQL background with modeling and scripting skills.

Qualifications

Master's degree in a related field and experience with Profisee MDM or similar MDM software.
Strong SQL background with database modeling and scripting.
EPIC data model certifications required or pursued within 180 days.
2 years clinical/healthcare IT experience or equivalent, with data governance focus.

Responsibilities

Participate in end-to-end solutions to increase information capabilities and realize data value.
Integrate data governance across ingestion, transformation, and modeling processes.
Support data provenance, security, quality, ontology, and visualization outputs.
Collaborate on planning, architecture, and build of enterprise data pipelines.
Develop repeatable designs and standardized data models for pipelines.

Skills

SQL proficiency

Data modeling

Scripting

MDM knowledge

Education

Bachelor's degree

Master's degree preferred

Tools

Profisee

Job description

The University of Texas MD Anderson Cancer Center is seeking a Data Engineer to join the Enterprise Data Engineering & Analytics Department. The Data Engineer plays a pivotal role in operationalizing critical data engineering and analytics initiatives that support digital business priorities. This position focuses on building and testing end-to-end solution delivery, including developing data pipelines within the Context Engine, while partnering across enterprise teams to deliver production-ready analytics for key stakeholders. The Data Engineer collaborates with Principal and Senior Data Engineers and Information Systems teams to enable integrated data solutions that drive faster access, reuse, and improved time-to-insight. The ideal candidate will bring a Master's degree in Business Analytics, Computer Science, Information Technology, Data Science, or a related field, along with experience with Profisee Master Data Management (MDM) or similar MDM software, development and configuration. Strong SQL background with database modeling and scripting expertise. A Profisee certification is preferred.

The Data Engineer contributes to a highly collaborative environment that advances enterprise-wide data capabilities through governance, innovation, and best practices. The Data Engineer ensures adherence to data governance, security, and metadata standards while enhancing scalable and reusable solutions across integrated platforms. The University of Texas MD Anderson Cancer Center is a leading institution focused on cancer care, research, education, and prevention, and UT MD Anderson continues to advance its mission through cutting-edge data and analytics solutions.

Minimum $106,500 - Midpoint $133,000 - Maximum $159,500, Work Location: Remote only within Texas

Why Us?

Join UT MD Anderson in advancing data-driven innovation that directly supports groundbreaking cancer care, research, and education initiatives. As a Data Engineer, you will contribute to enterprise-level solutions that improve data accessibility and analytics capabilities while working alongside subject matter experts in a collaborative and mission-driven environment. This role offers opportunities for professional growth, exposure to modern tools and architectures, and the ability to influence meaningful outcomes through technology.

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

Participate in end-to-end solutions to increase information capabilities and realize data value
Integrate data governance processes across ingestion, ingress, egress, curation, transformation, and modeling
Support tracking of data provenance, security, quality, ontology, and visualization outputs
Collaborate on planning, architecture, design, and build of enterprise data pipelines
Contribute to existing pipelines managing data from acquisition through consumption
Develop repeatable solution designs and standardized data models
Build pipelines for profiling, cleansing, transforming, mastering, and validating data
Monitor and improve data quality across the Context Engine
Incorporate metadata management and governance into pipeline development
Promote automation of repetitive integration and preparation tasks

Standards, Testing & System Maintenance

Adhere to IS division procedures and UT MD Anderson policies and build standards
Prepare and maintain documentation for enhancements and new technologies
Follow change control processes and support audits as needed
Perform quality control testing and review peer builds for technical accuracy
Assist with system updates and new releases for assigned analytics modules
Ensure compliance with regulatory requirements and quality standards
Collaborate with internal and external stakeholders on system improvements
Participate in after-hours support and downtime procedures

Education and Training

Train data scientists, analysts, and end users in data pipeline and preparation techniques
Assist in creating training plans for Context Engine tools
Develop curriculum in partnership with system experts and training teams
Deliver departmental and one-on-one training on analytics deliverables
Support customer relationships and provide effective technical solutions

OneIS Principles

Deliver innovative, sustainable IT solutions aligned with organizational goals
Promote trust, respect, and collaboration with customers and team members
Build productive partnerships across enterprise stakeholders
Model commitment to excellence and continuous improvement
Achieve outcomes that exceed expectations for usability and value

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: Experience building out MDM Solutions (Master Data Management), configuring and developing Profisee, strong SQL background including database modeling, scripting.

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
Preferred: Profisee certification.

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