Manager Data Engineering

About Our Client

The organization operates as a large healthcare system with multiple ministries and access points across Indiana. It focuses on providing compassionate, comprehensive care to patients and communities throughout the Midwest while supporting complex healthcare operations through integrated clinical, administrative, and technology services.

About the Opportunity

The Manager of Data Engineering leads a team responsible for designing, developing, and maintaining scalable data pipelines and models that support enterprise reporting, analytics, and data science. This role ensures reliable data delivery across a hybrid data architecture, with a strong focus on modern cloud data lakehouse practices and structured frameworks such as the medallion architecture.

Responsibilities

• Lead and mentor a data engineering team while fostering technical excellence, collaboration, and accountability.
• Design, implement, and maintain scalable ETL/ELT pipelines across cloud and legacy systems.
• Develop robust and maintainable data models using established data engineering practices, including medallion architecture.
• Optimize data workflows for performance, reliability, scalability, and maintainability.
• Support seamless integration of data from multiple sources to ensure timely, secure, and reliable availability.
• Establish and promote data engineering best practices, coding standards, and development methodologies.
• Collaborate with analytics, data science, reporting, and technology teams to support enterprise data initiatives.
• Provide technical guidance and oversight for data engineering projects and implementations.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Master’s degree in a relevant field preferred.
• Minimum 4 years of experience managing or leading system implementations or data engineering teams.
• At least 3 years of hands-on experience with modern cloud data platforms such as Azure, AWS, or Google Cloud.
• Minimum 7 years of hands-on experience with ETL/ELT, data pipelines, data modeling, and data warehousing.
• At least 3 years of advanced experience with SQL and Python.
• Preferred 3 years of experience modeling data for business intelligence platforms using medallion architecture.
• Preferred 3 years of experience with Epic Cogito data platforms and reporting tools.
• Preferred 3 years of experience with DevOps, CI/CD, and Agile delivery methodologies.

Pay Range and Compensation Package:

• Annual salary range of $117,340.82–$161,343.63.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

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