Data Engineer Senior (100% Remote)

The University of Kansas Health System; Chena Ridge (AK); Remote; USD 130,000 - 170,000; Full time

Job summary

The University of Kansas Health System is seeking a Senior Data Engineer to lead enterprise data pipelines and platform solutions. This remote role partners with architects, analysts, and stakeholders to design scalable, secure data platforms and to mentor peers.

Responsibilities include building robust ingestion workflows, implementing ALM practices, and enabling Power Platform tools (Power Apps, Power Automate, Power BI) integrated with Azure and Fabric for analytics-ready data.

Qualifications

• 7+ years in analytics or data engineering and related technical roles.
• SQL with complex query optimization and data preparation.
• Experience with cloud-based data platforms and scalable architectures.
• Git version control and Python scripting experience.
• Experience designing Power Platform solutions including Power Automate, Power Apps, and Copilot Studio.
• Experience modeling data for AI/ML workloads.

Responsibilities

• Owns delivery and operational outcomes for assigned data domains.
• Design, implement, and maintain complex data ingestion and orchestration workflows.
• Make technical design decisions for scalability and performance.
• Identify opportunities to integrate AI into engineering workflows.
• Lead governance of Power Platform solutions and establish reusable standards.
• Design enterprise Power Apps, Power Automate, Power BI integrations with Azure and Fabric.
• Create analytics-ready data and support BI developers and analysts.
• Collaborate with BI, Data Integrity, and Data Science to meet analytical rigor.

Skills

Analytics engineering

Data pipelines

Cloud data platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Python

Power Platform

Azure

Copilot Studio

Power BI

Job description

Data Engineer Senior (100% Remote)

Broadmoor Campus

Position Summary / Career Interest:

The Senior Data Engineer leads the design, implementation, optimization, and support of complex enterprise data engineering solutions that enable scalable, secure, and high-performing data platforms. Provides technical leadership for the development of advanced data pipelines, integration frameworks, data quality processes, observability, and monitoring capabilities.
Partners with architects, analysts, developers, and business stakeholders to design resilient engineering solutions, improve platform reliability, resolve complex technical challenges, and mentor other engineers.
Drives continuous improvement initiatives that enhance performance, automation, scalability, and operational excellence across enterprise data platforms.

Responsibilities and Essential Job Functions

• Core Delivery (Essential Skills)
• Own delivery and operational outcomes for one or more assigned data domains.
• Design, implement, and maintain complex data ingestion, transformation, and orchestration workflows using approved platform tools.
• Make informed technical design decisions within assigned domains to ensure scalability, reliability, and performance.
• Identify opportunities to integrate AI into engineering workflows and operational processes.
• Establishes best practices for application lifecycle management (ALM), deployment pipelines, source control, and environment governance across the Power Platform.
• Leads the design, development, optimization, and governance of enterprise Power Platform solutions, including Power Apps, Power Automate, Power BI, and Copilot Studio. Mentors team members and establishes reusable development standards.
• Designs enterprise-grade Power Apps, Power Automate workflows, Power BI solutions, and Copilot Studio agents that integrate with Azure, Microsoft Fabric, and enterprise systems.
• Translate analytics and reporting requirements into durable, production-ready data solutions.
• Integration & Alignment (Connect the Dots)
• Create and maintain integrated data views from multiple source systems across EMR and non-EMR environments.
• Ensure reliability, availability, and performance of data pipelines and platform components within assigned domains.
• Anticipate platform changes (e.g., cloud platform evolution, Epic upgrades) and assess downstream impact.
• Continuous Improvement (Innovations & Process Improvement)
• Lead resolution of complex incidents and contribute to root cause analysis and preventative improvements.
• Design and implement data models that support flexible querying, analytics, and reporting use cases.
• Organize and enrich data to ensure it is analytics-ready and reusable by BI developers and analysts.
• Influence & Stewardship (Leadership)
• Support development and refinement of datasets used for advanced analytics, statistical analysis, and reporting.
• Partner with BI developers, Data Integrity teams, and Data Science to ensure data solutions meet analytical rigor.
• Act as a technical thought partner to Associate and Standard engineers (excluding formal mentorship).
• Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
• These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience

• Bachelors Degree Computer Science, Data Engineering, Information Systems, or related field.
• 7 or more years experience in analytics engineering, data engineering, software development, or a related technical role.;*SQL experience, including complex query optimization and data preparation.;*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.

Preferred Education and Experience

• Exposure to healthcare data concepts, regulated environments, or data privacy fundamentals.
• Exposure to data quality validation or basic data governance concepts.

Required Licensure and Certification

• Epic Cogito Fundamentals (COG170) certification. Course completion required within 12 months of hire or promotion into this position.
• Microsoft Power Platform Fundamentals (PL-900) certification. Course completion required within 12 months of hire or promotion into this position.
• Caboodle Data Model (CDW110v) certification. Course completion required within 12 months of hire or promotion into this position.
• Caboodle Development Fundamentals (CDW300v) or Data Engineering on Microsoft Azure (DP-203) certification. Course completion required within 12 months of hire or promotion into this position.

Preferred Licensure and Certification

• Caboodle Development for Clarity Data (CDW320) certification
• Caboodle Development for Non-Clarity Data (CDW330) certification
• Data Engineering on Microsoft Azure (DP-600) certification.

Time Type:

Full time

Job Requisition ID:

R-57983

Important information for you to know as you apply:

• The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.

• The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link [e-mail].

• Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.