Data Engineer III

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🌪️ Kansas, Oklahoma, +2 more states – Remote

🌪️ Kansas – Remote 🌪️ Oklahoma – Remote 🏰 Missouri – Remote 🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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OU Health

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

⚕️ Healthcare Insurance

Healthcare • Healthcare Insurance

OU Health is a comprehensive healthcare provider offering a wide range of medical services including pediatric care, cancer care, diabetes care, emergency care, and specialized services for adults and children. Located in Oklahoma, OU Health operates multiple facilities such as the Oklahoma Children's Hospital and the Stephenson Cancer Center. Known for its advanced scientific research and quality care, the organization prides itself on being recognized for excellence in areas like pediatric cardiology and heart surgery. As part of its commitment to medical excellence, OU Health also focuses on medical education and research, helping to train the next generation of healthcare professionals.

📋 Description

• Lead and serve as the subject matter expert in the design, development and delivery of data pipelines • Design, create, test, deploy and maintain data pipelines that deliver curated, value-added data assets • 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 • Work closely with different application and operational teams to understand business needs • Guide, mentor, quality review and train Data Engineering team and ETS department

🎯 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 • 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 • Must possess critical thinking and creative problem-solving skills • 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