Data Engineer - 23378

University of Colorado

Aurora, CO

Job posting number: #7087552

Posted: October 21, 2021

Application Deadline: Open Until Filled

Job Description

The University of Colorado has a requirement for COVID-19 vaccinations and full completion thereof by 9/1/21 or upon start date. Information regarding this requirement, and exemptions can be found at:

Anschutz: https://www.ucdenver.edu/docs/librariesprovider284/default-document-library/3000-general-admission/3012---covid-19-vaccination-requirement-and-compliance.pdf?sfvrsn=4e9df3ba_2

Denver: https://www.ucdenver.edu/coronavirus

Exemptions vary by campus location/department.

Campus/Unit-Specific Exemptions:

Anschutz Campus – Exemptions are allowed for medical or religious reasons.
Denver Campus - Exemptions are allowed for medical, religious, or personal reasons.
Consolidated/Central Services Administration – Will follow Anschutz policy on exemptions.
The University of Colorado Anschutz Medical Campus seeks individuals with demonstrated commitment to creating an inclusive learning and working environment. We value the ability to engage effectively with students, faculty and staff of diverse backgrounds.

CU Innovations has an opening for a full-time University Staff (unclassified) Data Engineer position.

The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and patient care. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked independent hospitals - UCHealth University of Colorado Hospital and Children's Hospital Colorado - that treat more than two million adult and pediatric patients each year. Innovative, interconnected and highly collaborative, the University of Colorado Anschutz Medical Campus delivers life-changing treatments, patient care and professional training and conducts world-renowned research fueled by over $650 million in research grants. For more information, visit www.cuanschutz.edu.

Department Summary: CU Innovations is working with researchers and clinicians to discover new treatment options, medical devices and innovative technologies to improve the lives and outcomes of patients. CU Innovations works directly with researchers, clinicians and external partners at the University of Colorado, and staff at UCHealth and at Children’s Hospital Colorado to commercialize their innovations. It is our mission to enable commercialization through the best route for a given technology and ensure that technologies can benefit patients.

Job Summary: Jobs in this career family provide direct professional support of research activities. Functions include contracts and grants solicitation and administration, grant/agreement preparation, review and negotiation, regulatory compliance, sponsor communication and post and pre award management, human subject compliance, research animal management, research laboratory coordination and instruction, environmental health and safety, radiation control, hazardous materials use, disposal and training.

Principal Professionals are responsible for exercising discretion, analytical skill, personal accountability and responsibility in a wide range of areas including academic, administrative, managerial and student services functions. Work involves creating, integrating, applying and sharing knowledge directly related to a professional field. Work is performed at an advanced or expert level. Principal Professionals are either work leads over others or are considered a subject matter expert in a particular area.

Experienced data engineer focused on building data solutions to address health care issues initiated through the CU Innovations center. Primary development efforts will be built using Python and SQL and will be deployed within the Innovations data platform.

The Data Engineer will report directly to the Medical Director at CU Innovations and work collaboratively with experts in data science, IT, compliance and other key areas at CU and UCHealth.

Examples of Work Performed:

Create and maintain optimal data pipeline architecture, including building data systems
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Keep data from multiple data centers secure and HIPPA compliant where relevant
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in data systems
Transform data into a format that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation
Analyze and organize raw data
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
This description is a summary only and is describing the general level of work being performed, it is not intended to be all-inclusive. The duties of this position may change from time to time and/or based on business need. We reserve the right to add or delete duties and responsibilities at the discretion of the supervisor and/or hiring authority.


Qualifications

Minimum Qualifications:

A Bachelor’s degree in a data science related field
4+ years of experience with SQL, Google Cloud Platform (GCP), including Big Query, Python and R studio
Experience in Azure and other software languages, data visualization tools and multiple operating systems
Required: Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

A Master’s degree in a data science related field
6+ years of experience with SQL, Google Cloud Platform (GCP), including Big Query, Python and R studio
Experience in Azure, additional software languages, additional data visualization tools and multiple operating systems




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More Info

Job posting number:#7087552
Application Deadline:Open Until Filled
Employer Location:Online Job Advertising
JAX,Florida
United States
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