Developer-Information Services III - Data Engineer

Indiana University Health System • Indianapolis, IN

2d

About The Position

Indiana University Health is seeking a Senior Data Engineer to join its IIS team. The role leads the design, development, and optimization of enterprise data solutions using modern cloud technologies, including Databricks and Azure, to support analytics, artificial intelligence, operational reporting, and research initiatives. The position designs and maintains scalable data platforms, integration pipelines, and data models, including OMOP-based data structures, while ensuring data quality, security, governance, and accessibility. It partners with analytics teams, researchers, clinicians, and business stakeholders to deliver trusted, research-ready data assets that enable innovation and informed decision-making. The candidate must live and work in Central Indiana.

Requirements

• Bachelor's degree or equivalent years of experience.
• Minimum of 4–6 years of relevant experience.
• Advanced experience developing data pipelines and ETL/ELT processes using Databricks and modern data engineering technologies.
• Experience supporting healthcare analytics, OMOP, research, or clinical data environments.
• Demonstrated ability to resolve complex technical issues.
• Strong understanding of data modeling, information management principles, SDLC, and enterprise architecture.
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Must live and work in Central Indiana.

Nice To Haves

• Databricks Certified Data Engineer Associate certification or equivalent certification.
• Experience with performance optimization and application scalability.
• Experience implementing CI/CD pipelines and DevOps practices.

Responsibilities

• Lead the design, development, and optimization of enterprise data solutions using Databricks, Azure, and other modern cloud technologies.
• Support analytics, artificial intelligence, operational reporting, and research initiatives through enterprise data solutions.
• Design and maintain scalable data platforms, integration pipelines, and data models, including OMOP-based data structures.
• Ensure data quality, security, governance, and accessibility.
• Partner with analytics teams, researchers, clinicians, and business stakeholders to deliver trusted, research-ready data assets.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior