Senior Data Engineer

The University of Kansas Health System

. Lead the design, implementation, optimization, and support of complex enterprise data engineering solutions .

Posted 9/24/2026full-timeRemote • Kansas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, implementing, and optimizing enterprise data engineering solutions, with a strong focus on Power Platform technologies and cloud-based data environments. Proficient in SQL, data pipeline optimization, and integrating AI into engineering workflows.

Highest-signal resume keywords

Data EngineeringPower Platform SolutionsSQL Query OptimizationCloud-Based Data PlatformsAI/ML Workloads

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData OrchestrationData ModelingComplex Query OptimizationScripting (Python)Version Control (Git)Data Pipeline DesignAnalytics EngineeringEnterprise Data Solutions

Soft Skills

MentoringTechnical LeadershipCollaboration

Tools & Technologies

Power AppsPower AutomatePower BICopilot StudioAzureMicrosoft Fabric

Certifications & Qualifications

Epic Cogito Fundamentals (COG170)Microsoft Power Platform Fundamentals (PL-900)Caboodle Data Model (CDW110v)Caboodle Development Fundamentals (CDW300v)Data Engineering on Microsoft Azure (DP-203)

Industry Keywords

Enterprise Data EngineeringApplication Lifecycle ManagementDeployment PipelinesEnvironment GovernanceAdvanced Analytics

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
7 or more years of experience in analytics engineering, data engineering, software development, or a related technical role
SQL experience, including complex query optimization and data preparation
Experience with cloud-based data platforms or enterprise data environments
Solid experience designing scalable, reliable, and maintainable data solutions
Experience with version control (Git) and scripting (Python preferred)
Experience designing and implementing Power Platform solutions including Power Automate, Power Apps, and Copilot Studio
Experience designing and optimizing data pipelines and governed architectures specifically for advanced AI/ML workloads
Epic Cogito Fundamentals (COG170) certification; course completion required within 12 months of hire or promotion
Microsoft Power Platform Fundamentals (PL-900) certification; course completion required within 12 months of hire or promotion
Caboodle Data Model (CDW110v) certification; course completion required within 12 months of hire or promotion
Caboodle Development Fundamentals (CDW300v) or Data Engineering on Microsoft Azure (DP-203) certification; course completion required within 12 months of hire or promotion
Must be able to perform the professional, clinical, and/or technical competencies of the assigned unit or department

Benefits

Comp & perks

Equal employment opportunity employer
Reasonable accommodations for qualified individuals with disabilities
Employment with the health system includes participation in the health-system dispute-resolution program