Manager Data Engineering
Franciscan Health•Work From Home, IN
•$117,341 - $161,344•Remote
About The Position
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).
Requirements
- Bachelor's Degree Computer Science, Information Systems or related field - Required
- 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
Nice To Haves
- Master's Degree Computer Science, Information Systems or related field - Preferred
- 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
Responsibilities
- 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.
Benefits
- Comprehensive benefit offerings
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What This Job Offers
Job Type
Full-time
Career Level
Manager
