Sr Data Engineer
Company: The University of Texas MD Anderson Cancer Center
Location: Houston
Posted on: August 8, 2022
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Job Description:
The Senior 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
Senior Data Engineer assists in managing business requirements
gathering, end-to-end solution planning and optimizes data
analytics delivery within the Context Engine. The Senior Data
Engineer partners with other Enterprise Data Engineering &
Analytics teams to assist in planning & building analytics
deliverables for production use by our key data and analytics
consumers. REMOTE MUST LIVE IN TEXAS The Senior 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 Senior Data Engineer role requires working creatively and
collaboratively with IS and Institutional leaders across the
enterprise. It involves evangelizing effective data accessibility
practices and promoting better understanding of data and analytics.
The Senior 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. Standards,
Testing and Maintenance 1. Coordinate and adhere to standard
operating procedures set by IS division as well as all MDA policies
and maintain build standards (data steward / governance oversight
sign off) for support of MDA Institutional data strategy including
Context Engine. 2. Participate in documentation preparation as
needed for the implementation of enhancements or new technology. 3.
Adhere to documented change control processes and may perform
change control audits. 4. Communicate & perform quality control and
testing and review the build of other analysts to ensure that
solutions are technically sound. 5. Assist in overseeing analytics
system updates/new releases for assigned modules. 6. Communicate
and execute the adherence to regulatory requirements, quality
standards and best practices for systems and processes, and
collaborate with internal and external stakeholders. 7. Assist in
leading and/or participate in after-hours application support and
downtime procedures. Educate and Train 1. Coordinate, promote &
train counterparts, such as data scientists, data analysts, end
users or any data consumers, in data pipelining and preparation
techniques, which make it easier for them to integrate and consume
the data they need for their own use cases. 2. Coordinate &
establish training plans for various systems in the Context Engine
Tools suite and develop curricula in partnership with the MDA
Training team and EDEA system experts. 3. Provide institutional,
department and one-on-one training on EDEA deliverables. 4. Coach
and provide advice, guidance, encouragement, constructive feedback
and transfer knowledge to less experienced team members across
OneIS and the institution. 5. Assist in managing liaison
relationships with customers and OneIS to provide effective
technical solutions and customer service. OneIS 1. To provide
innovative, quality, and sustainable IT solutions and services. Our
success is driven by our people through Integrity and Trust,
Partnership, and Quality. 2. Promotes trust, respect, support, and
honestly with customers and each other. 3. Commits to being a good
partner focused on building productive, collaborative, and trusting
relationships with our customers and each other. 4. Models a
commitment to excellence and strives to continually improve.
Achieves desired outcomes, usability, and value that exceed
expectations of others and our own. Other duties as assigned
Education: Bachelor's degree. Preferred Education: Master's degree
in Business Analytics, Computer Science, Information Technology,
Data Science, or related. Certification Required: Must obtain at
least one Epic Data Model certification (Clinical, Access, or
Revenue) issued by Epic within 180 days of date of entry into job.
Preferred Certification: Python, PySpark, Spark certifications
Experience: Five years of relevant information technology
experience. May substitute required education with years of related
experience on a one to one basis. With preferred degree, three
years of experience required. Must pass pre-employment skills test
as required and administered by Human Resources. Preferred
Experience: Prior experience in building Foundry data pipelines
Prior data warehouse and business intelligence solutions
experience. Healthcare industry experience. Prior experience in
Epic Cogito analytics 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: 151443 Employment Status: Full-Time
Employee Status: Regular FLSA: exempt and not eligible for overtime
pay Work Week: Days Fund Type: Hard Work Location: Remote (within
Texas only) Pivotal Position: Yes Minimum Salary: US Dollar (USD)
97,500 Midpoint Salary: US Dollar (USD) 122,000 Maximum Salary : US
Dollar (USD) 146,500 Science Jobs: No
Keywords: The University of Texas MD Anderson Cancer Center, Houston , Sr Data Engineer, Engineering , Houston, Texas
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