Data Engineer - Enterprise Data Engineering & Analytics

University of Texas MD Anderson Cancer Center; Houston (TX); Remote; USD 107,000 - 160,000; Full time

Job summary

University of Texas MD Anderson Cancer Center is seeking a Data Engineer in Data Analytics & Delivery to operationalize critical data for digital initiatives. You will participate in gathering business requirements, develop end-to-end data solutions, and deliver analytics within the Context Engine framework, collaborating with multiple enterprise teams.

Ideal candidates have experience with Pathology and Lab Medicine, SAP Web Intelligence/PowerBI reporting, and Epic Cogito certification,

Qualifications

• Experience with Pathology and Lab Medicine is preferred.
• Epic Cogito certification is preferred.
• Experience with SQL and developing reports in SAP Web Intelligence, PowerBI, or similar tools.

Responsibilities

• Participate in business requirements gathering and end-to-end solution development.
• Deliver data analytics within the Context Engine framework for production use.
• Collaborate with Enterprise Data Engineering & Analytics teams to build analytics deliverables.

Skills

Data analytics

Requirements gathering

Tools

SQL

PowerBI

SAP Web Intelligence

Epic Cogito

Job description

The Data Engineer in the area of Data Analytics & Delivery is a pivotal role in the Enterprise Data Engineering & Analytics Department in operationalizing critical data and analytics for MD Anderson's digital business initiatives. The Data Engineer participates in business requirements gathering, end-to-end solution development and data analytics delivery within the Context Engine. The Data Engineer partners with other Enterprise Data Engineering & Analytics teams to assist in building analytics deliverables for production use by our data and analytics consumers.

***Ideal candidates will have experience working with Pathology and Lab Medicine, Epic Cogito certified, and have experience with SQL and developing reports in SAP Web Intelligence, PowerBI, or similar. ****

Salary Range Min-$106,500, Mid-$133,000, Max-$159,500, the work schedule is remote.

Why Us?

This role offers the opportunity to lead high-impact programs that directly support UT MD Anderson's mission to eliminate cancer, while working alongside innovative leaders in technology, data, and healthcare. The Data Engineer contributes to meaningful organizational transformation while benefiting from a collaborative environment, professional development opportunities, and a strong commitment to work-life balance.

• 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.

The Data Engineer also assists in planning and coordinating data analytics delivery activities in compliance with data governance processes and data security requirements. This results in enabling faster data delivery, integrated data reuse and vastly improved time-to-solution for MD Anderson data and analytics initiatives.

The Data Engineer role requires working creatively and collaboratively with Principal and Senior Data Engineers, IS and Institutional teams across the enterprise. It involves evangelizing effective data accessibility practices and promoting better understanding of data and analytics. The Data Engineer partners with teams across MD Anderson, including Enterprise Development & Integration and Enterprise Data Science departments in the build out and delivery of end-to-end analytic solutions through the Context Engine Framework.

The Laboratory Anatomic Pathology (AP) and Clinical Pathology (CP) areas are critical to both patient care and research to improve patient care. The Data Engineer candidate will be self-motivated, detail-oriented and contribute to technical projects to improve analytics and reporting for the Epic Beaker AP and CP modules.

The Context Engine program has multiple Laboratory projects in progress and this position will play a key role in the progress and execution of those efforts.

Data Engineering - End-to-End Solution Delivery

1. Participate in End-to-end solution delivery that increases information capabilities and realizes data value across the institution. End-to