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# Developer-Information Services III - Data Engineer

- **Company:** Indiana University of Pennsylvania
- **Location:** Indianapolis, IN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Health Informatics, Clinical Data Repository, Continuous Delivery, Information Engineering, Extract Transform Load (ETL), Data Structures, DevOps, Internet Information Services (IIS), Information Management, Performance Tuning, Systems Development Life Cycle, Data Management, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e9e94a7148f05622

## About the Role

* Bachelor's Degree or equivalent years of experience is required.
 * Requires minimum of 4-6 years of relevant experience.
 * Requires advanced experience developing data pipelines, ETL/ELT processes using Databricks and modern data engineering technologies.
 * Requires experience supporting healthcare analytics, OMOP, research, or clinical data environments.
 * Requires a demonstrated ability to resolve complex technical issues
 * Databricks Certified Data Engineer Associate or equivalent certification is preferred.
 * Experience with performance optimization and application scalability is preferred.
 * Experience implementing CI/CD pipelines and DevOps practices is preferred.
 * Strong understanding of data modeling, information management principles, SDLC, and enterprise architecture.
 * Excellent analytical, problem-solving, communication, and collaboration skills.

## Description

Our teams shape strategic initiatives, have passion, and work to improve health outcomes. They advance our mission and exemplify excellence, compassion, teamwork, and purpose in all that they do. Indiana University Health is seeking individuals who embody these values to join our IIS team in the role of Senior Data Engineer. Candidate for this role must live and work in Central Indiana.

Role Responsibilities:

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. Designs and maintains scalable data platforms, integration pipelines, and data models, including OMOP-based data structures, while ensuring data quality, security, governance, and accessibility. Partners with analytics teams, researchers, clinicians, and business stakeholders to deliver trusted, research-ready data assets that enable innovation and informed decision-making.