Developer-Information Services III - Data Engineer

IU Health • Indianapolis, IN

2d

About The Position

Indiana University Health is seeking a Senior Data Engineer for its IIS team. The candidate must live and work in Central Indiana. 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. It designs and maintains scalable data platforms, integration pipelines, and data models, including OMOP-based data structures, while ensuring data quality, security, governance, and accessibility. The role partners with analytics teams, researchers, clinicians, and business stakeholders to deliver trusted, research-ready data assets that enable innovation and informed decision-making.

Indiana University Health is a comprehensive health system focused on quality, innovation, education, and improving health outcomes. The role is part of an organization that collaborates with the Indiana University School of Medicine and provides opportunities for learning and professional development.

Requirements

• Bachelor’s degree or equivalent years of experience.
• A 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 modern cloud technologies, including Databricks and Azure.
• 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 for innovation and informed decision-making.
• Support analytics, artificial intelligence, operational reporting, and research initiatives.

Benefits

• Access to learning and development opportunities, including advanced clinical training, leadership development, promotion opportunities, and cross-training development.

What This Job Offers

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