Data Engineering Manager

🕒 January 28

🇺🇸 United States – Remote

💵 $117.3k - $161.3k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Franciscan Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1875

⚕️ Healthcare Insurance

🤝 Non-profit

Healthcare Insurance • Non-profit

Franciscan Health is a healthcare organization committed to providing high-quality medical care grounded in the Franciscan tradition. They offer a range of medical services, including clinical and allied health, home health and hospice, nursing, physicians and advanced practice providers, and non-clinical and administrative roles. With a focus on embracing the values of St. Francis to care for those in need, they provide a supportive and fulfilling work environment for their employees, emphasizing a mission of compassion and community engagement. Franciscan Health is dedicated to offering a variety of employment opportunities across different medical specialties and locations.

📋 Description

• 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.

🎯 Requirements

• Bachelor's Degree in Computer Science, Information Systems or related field - Required • Master's Degree in Computer Science, Information Systems or related field - Preferred • 4 years Relevant work experience managing/leading data engineering teams - Required • 3 years Hands-on development experience with Modern 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

🏖️ Benefits

• Comprehensive benefit offerings.