Engineering Manager
Leads a team building and maintaining scalable data pipelines and lakehouse models for enterprise reporting and analytics, leveraging Python, SQL, Spark, Airflow, and AWS/Databricks on a medallion architecture.
The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role is critical in delivering data across a hybrid architecture, with a strong emphasis on our modern cloud data lakehouse platform that follows structured frameworks such as the medallion architecture (bronze, silver, gold layers).
WHO WE ARE
With 11 ministries and access points across Indiana, Franciscan Health is one of the largest Catholic health care systems in the Midwest. Franciscan Health takes pride in hiring coworkers that provide compassionate, comprehensive care for our patients and the communities we serve.
WHAT YOU CAN EXPECT
Lead, mentor, and develop a high-performing data engineering team, fostering a culture of technical excellence, accountability, and continuous improvement in data pipeline development and delivery.
Design, implement, and maintain scalable, efficient ETL/ELT pipelines across cloud and legacy systems.
Develop robust data models leveraging best practices such as the medallion architecture (Bronze, Silver, Gold layers) to organize raw, refined, and curated data for trusted analytics.
Ensure data workflows and structures are optimized to support analytical, operational, and self-service use cases with high performance, reliability, and maintainability.
Deliver and support seamless data integration in and out of enterprise data platforms ensuring timely, accurate, and secure data availability for reporting, analytics and other data needs.
Drive adoption of best practices in data engineering design and coding standards to ensure scalable, maintainable, and reusable solutions aligned with architectural principles.
QUALIFICATIONS
Bachelor's Degree Computer Science, Information Systems or related field - Required
Master's Degree Computer Science, Information Systems or related field - Preferred
4 years Relevant work experience managing/leading system implementations and/or data engineering teams or cross functional teams - Required
3 years Hands-on development experience with Moden Cloud Data Platforms (Azure, AWS, Google, etc.) - Required
7 years Hands-on data engineering experience with ELT/ETL, Pipelines, Modeling, Warehousing, etc. - Required
3 years Advanced experience with SQL & Python - Required
3 years Experience modeling data for BI Platforms (Power BI, Tableau, BOE) with medallion architecture - Preferred
3 years Experience with Epic Cogito data platforms & reporting tool - Preferred
3 years Experience with DevOps, CI/CD & Agile delivery - Preferred
3 years Experience with DevOps, CI/CD & Agine delivery - Preferred
TRAVEL IS REQUIRED:
EQUAL OPPORTUNITY EMPLOYER
It is the policy of Franciscan
Posted June 23, 2026