Data Engineer III

OU Health

Data Engineer III leading design and development of data pipelines for OU Health. Collaborating with Data Scientists and BI Developers in a variety of data engineering methodologies.

Posted 7/31/2026full-timeRemote • Kansas, Montana, Oklahoma, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, developing, and maintaining data pipelines while ensuring data quality and governance in compliance with healthcare regulations. Proficient in leading and mentoring teams in data engineering and analytics, with a strong focus on optimizing data processes and delivering actionable insights.

Highest-signal resume keywords

Data Pipeline DevelopmentExpert Level SQLEpic CertificationBig Data Tools ExposureData Governance Policies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData Quality FrameworksData ManipulationStream ProcessingRelational SQL DatabasesNoSQL DatabasesStatistical Data AnalysisVisual Analytics ToolsObject-Oriented ProgrammingData Asset Development

Soft Skills

Critical ThinkingCreative Problem-SolvingEffective CommunicationProject ManagementOrganizational Skills

Tools & Technologies

DbtSnowParkSparkKafkaFivetranMatillionSSISSnowSQLQlikViewTableau

Certifications & Qualifications

Bachelor's DegreeEpic Certification

Industry Keywords

Healthcare RegulationsElectronic Health RecordsFinancial SystemsAgile MethodologyCross-Functional Teams

Tech Stack

Tools & technologies

JavaKafkaMatillionMS SQL ServerNoSQLPythonScalaSparkSQLSSISTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

PTO
401(k)
medical and dental plans
comprehensive benefits package