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Business Analyst, Data Engineer II - Salt Lake City, United States - University of Utah
Description
DetailsOpen Date 05/06/2024
Requisition Number PRN38464B
Job Title OCHE Data Scientist II
Working Title Business Analyst, Data Engineer II
Job Grade G
FLSA Code Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary
Hybrid Position, Mon – Fri 8am – 5pm
VP Area President
Department USHE Comissioner
Location Office of the Commissioner - Downtown SLC
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range $80,000 - $96,500 DOE
Close Date
Open Until Filled Yes
Job Summary
The Data Systems Engineer II oversees the compute infrastructure and data access processes to drive data privacy, security, and integrity for the data systems within the Utah Data Research Center ( UDRC ) department/Utah System of Higher Education ( USHE ).
This position receives little technical support from management and must be comfortable supporting disaggregated compute (cloud native, hybrid web, and client analytics) meeting a diverse research and development staff in the languages best suited to the task (Typescript, Java, Python, R).
The data systems engineer II will need the required expertise to lead continuous improvement and architecture initiatives throughout the lifecycle of the system.
The role requires a considerable project/product management background.Typical activities include:
Data Systems
Real time system health monitoring from data to user
Managing ingest of raw data through the UDRC's matching and de-identification processes to ultimately make it available and useful for researchers in the production data warehouse
Developing ML algorithms to make UDRC data more useful to in-house and external data requestors
Building and optimizing computational pipelines that allow messy raw data to be turned into research and policy insights
Monitoring algorithm performance and stability of the UDRC data system and communicating issues to management
Testing new data pipeline or workflow processes
Management
Coordinate, communicate, reach consensus with ORDS management
Liaison with partner technical agencies for the general management and support of the systems.
Be data system support for the UDRC research team and be a subject matter expert on the UDRC cloud architecture and data availability
Ancillary
Expanding knowledge by engaging in self-study and attending relevant conferences and trainings
Prioritizing work to complete tasks in an efficient manner
Communicating receipt of new data or data issues with stakeholders
Fulfilling data requests with outside data requestors
Completing other tasks as assigned. This is not an exhaustive list.
Disclaimer
OCHE has reviewed this job description to ensure that essential functions and primary duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
This document does not represent a contract of employment, and OCHE reserves the right to change this job description and/or assign tasks for the employee to perform, as OCHE may deem appropriate.
ResponsibilitiesReview and validate the proper functioning of the ORDS data systems
Research new methods for the creation of the ORDS data systems outputs, and implement improvements
Project/product manage an improvement as outcome of research and development
Review, update, and or create documentation for all relevant ORDS data system operationalized code
Leading continuous education initiatives for self and the data systems team
Prioritizes work to complete tasks in an efficient manner
Minimum Qualifications
Qualifications:
Bachelor's degree in a related field, or equivalency
three years related experience
demonstrated human relations and effective communication skills required.
Preferences
2-4 years' experience in the following areas:
Experience developing ML algorithms to improve data warehouse architecture in a cloud system (preferably GCP )
Experience reading and writing Python, SQL , R, and Java
Experience testing and optimizing data warehouse pipelines
Ability to maintain the highest degree of confidentiality
Experience with Continuous Integration (CI/CD) systems such as Github Actions, Jenkins
Experience with infrastructure specifications in Terraform or similar
Ability to maintain version control over multiple code and data repositories
Ability to communicate effectively with developers and stakeholders
Experience working effectively without close supervision
Experience with cloud architecture design
A commitment to continuously improving processes to increase efficiency and effectiveness
Strong workload management skills and abilities, with an emphasis on the ability to prioritize and attention
Education and other preferences:
The ideal candidate for this position has a master's degree or higher in a quantitatively or technically intensive field (e.g., economics, computer science, mathematics, human-computer interaction, or statistics).
Candidates with bachelor's degrees in a quantitatively intensive field will be considered given sufficient professional experience (academic experience will be taken into consideration).
Experience batch data processing with Apache Beam. GCP Dataflow experience preferred
Experience with NoSQL document databases such as MongoDB or GCP Firestore
Project Management Professional ( PMP ) or similar experience preferred
Type Benefited Staff
Special Instructions Summary
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS").
Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work).
Contact Human Resources at for information.Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions.
Please contact Utah Retirement Systems at or or University Human Resource Management at if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients.
The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status.
The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106.
The requirement not to discriminate in education programs or activities extends to admission and employment.Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action ( OEO /AA).
Online reports may be submitted at
This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses.
They also provide information about safety and security-related services offered by the University of Utah.A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
