University of Utah Health Research · 1 month ago
Healthcare Data Engineer III
University of Utah Health Research is seeking a Healthcare Data Engineer III to design, build, implement, and maintain data processing pipelines for healthcare data. The role involves collaborating with various stakeholders to translate business requirements into technical specifications and ensuring efficient data flow for analysis.
Higher Education
Responsibilities
Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading ( ETL ) of data from a variety of data sources
Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier
Write complex SQL queries to support analytics needs
Evaluate and recommend tools and technologies for data infrastructure and processing
Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines
Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL , MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom
Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses
Considered highly skilled and proficient in discipline
Conducts complex, important work under minimal supervision and with wide latitude for independent judgment
Qualification
Required
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience
1 year of higher education can be substituted for 1 year of directly related work experience
Considered highly skilled and proficient in discipline
Conducts complex, important work under minimal supervision and with wide latitude for independent judgment
Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources
Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier
Write complex SQL queries to support analytics needs
Evaluate and recommend tools and technologies for data infrastructure and processing
Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines
Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom
Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses
Serve as the front-line support for data-related questions from end-users
Be responsible for standardization, documentation, and maintaining a repertoire of answers and solutions to common problems
Preferred
Master's degree in biomedical informatics, computer science, information systems, bioengineering or equivalent, with an emphasis on healthcare
4+ years of experience with healthcare data warehousing, electronic health records (ideally, Epic), and data preparation & analysis
Knowledge and experience in applying controlled medical terminologies like SNOMEDCT, LOINC, RxNorm, etc. in healthcare
Clinical training (e.g., medicine, nursing, pharmacy, etc.)
Demonstrated expertise in a broad array of data science theories and techniques
Benefits
The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.
Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
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.
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
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).
Company
University of Utah Health Research
At University of Utah Health, our world-class researchers work together to tackle some of the toughest problems in health and medicine.
H1B Sponsorship
University of Utah Health Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase