Data Engineer

• Lead the design, implementation, optimization, and support of complex enterprise data engineering solutions
• Own delivery and operational outcomes for assigned data domains
• Design, implement, and maintain data ingestion, transformation, and orchestration workflows
• Make technical design decisions to ensure scalability, reliability, and performance
• Identify opportunities to integrate AI into engineering workflows and operational processes
• Establish best practices for application lifecycle management, deployment pipelines, source control, and environment governance across the Power Platform
• Lead the design, development, optimization, and governance of enterprise Power Platform solutions, including Power Apps, Power Automate, Power BI, and Copilot Studio
• Design enterprise-grade Power Platform solutions integrating with Azure, Microsoft Fabric, and enterprise systems
• Translate analytics and reporting requirements into production-ready data solutions
• Create and maintain integrated data views across EMR and non-EMR source systems
• Ensure reliability, availability, and performance of data pipelines and platform components
• Anticipate platform changes and assess downstream impact
• Lead resolution of complex incidents and contribute to root cause analysis and preventative improvements
• Design and implement data models for querying, analytics, and reporting
• Organize and enrich data for BI developers and analysts
• Support datasets used for advanced analytics, statistical analysis, and reporting
• Partner with BI developers, Data Integrity teams, and Data Science
• Act as a technical thought partner to Associate and Standard engineers
• Mentor team members and establish reusable development standards

Data Engineer jobs in Kansas

Senior Data Engineer