Data Engineer III

OU Health is a healthcare organization seeking a Data Engineer III to lead the design, development, and delivery of data pipelines and data assets. The role involves working closely with cross-functional teams to enhance data systems and ensuring data governance and quality.

Responsibilities:

• Leverage subject matter expertise with a variety of data engineering, DataOps, and data warehousing methodologies, techniques, tools, and platforms to transform large quantities of data from multiple sources
• Design, create, test, deploy 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
• Data Governance: Enforce data governance policies including data quality, validation, lineage, metadata management, and adherence to healthcare regulations
• Quality assurance: 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
• Performs other duties as assigned

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 including: Cogito Fundamentals, Clarity Data Model, Caboodle Data Model, Access Data Model, Revenue Data Model, Clinical Data Model, Caboodle Development, Additional epic classes as requested to support evolving business needs
• 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