Data Engineer Senior

Kansas Health System; Kansas; On-site; USD 120,000 - 160,000; Full time

Job summary

Kansas Health System’s Broadmoor Campus seeks a Senior Data Engineer to lead the design and optimization of enterprise data pipelines and platforms. You will mentor engineers, implement robust data integration frameworks, and drive reliability and performance across critical data domains.

The role emphasizes building AI-enabled workflows, advanced analytics readiness, and governance with Power Platform tools (Power Apps, Power Automate, Copilot Studio) integrated to Azure and enterprise systems.

Qualifications

• Bachelor's degree in a related field is required.
• 7+ years of analytics engineering, data engineering, or related technical experience.
• Strong SQL experience including query optimization and data preparation.
• Experience with cloud-based data platforms and scalable data solutions.

Responsibilities

• Own delivery and operational outcomes for one or more data domains.
• Design, implement, and maintain complex data ingestion, transformation, and orchestration workflows.
• Make informed technical design decisions to ensure scalability, reliability, and performance.
• Identify opportunities to integrate AI into engineering workflows and processes.
• Lead design and governance of Power Platform solutions (Power Apps, Power Automate, Power BI) and Copilot Studio.

Skills

SQL

Power Platform

Git

Python

Data pipelines

AI/ML workloads

Azure

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Git

Python

Power Automate

Power Apps

Copilot Studio

Azure

Microsoft Fabric

Job description

Position Title

Data Engineer Senior

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