Data Engineer III
OU Health
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Lead and serve as the subject matter expert in the design, development and delivery of data pipelines and value-added data assets across the OU Health data ecosystem
- Design, build, and maintain data pipelines that deliver curated, value-added data assets such as data marts and other purpose-built data stores
- Ensure data pipelines are optimized, highly reliable, and contain low technical debt
- Design, build, and maintain the tools and infrastructure needed to handle large datasets
- Enforce data governance policies including data quality, validation, lineage, metadata management, and adherence to healthcare regulations
- Develop and implement comprehensive data quality frameworks, addressing issues such as data accuracy, completeness, and consistency
- Work closely with different application and operational teams to understand business needs and align data engineering initiatives accordingly
- Guide, mentor, quality review and train Data Engineering team and ETS department on technical skills and best practices
Requirements
- Bachelor's Degree required
- 5 or more years in analytics (Business Intelligence, Data Engineering, Data Science, etc.) required
- Epic certification/accreditation required within 6 months of hire or within 3 months of class completion
- Expert level analytic skills related to working with structured and unstructured datasets
- Guide, mentor and train Data Engineering team, Data Scientist and Business Intelligence Developers on technical skills and best practices
- Must possess critical thinking and creative problem-solving skills along with the ability to communicate well with stakeholders throughout the organization
- Effective communication, project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environment
- Working knowledge of stream processing and highly scalable data stores
- Previous experience manipulating, processing, and extracting value from large, disconnected datasets
- Expert level SQL and data manipulation skills
- Exposure to big data tools: dbt, SnowPark, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Snowflake, MS SQL Server, and Postrgres
- Experience with integration tools: Fivetran, Matillion, SSIS, dbt, SnowSQL
- Exposure to stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc.
- Exposure to consuming and building APIs
- Exposure to object-oriented/object function programming languages: Python, Java, C++, Scala, etc.
- Experience with statistical data analysis tools: R, SAS, SPSS, etc.
- Experience with visual analytics tools: QlikView, Tableau, Power BI etc.
- Familiarity to Agile methodology for development
- Familiarity with electronic health records and financial systems. i.e., Epic Systems, Workday, Strata etc.
- Ability to work independently and within teams
- Ability to develop and advise on data asset use to provide solutions to organizational needs
Benefits
- PTO
- 401(k)
- medical and dental plans
- comprehensive benefits package
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata quality frameworksSQLdata manipulationstream processingbig data toolsrelational databasesNoSQL databasesstatistical data analysisvisual analytics
Soft Skills
critical thinkingcreative problem-solvingeffective communicationproject managementorganizational skillsmentoringtrainingcollaborationalignment with business needsindependent work
Certifications
Bachelor's DegreeEpic certification/accreditation