Lead Cloud Data Engineer, Technology and Digital

Baptist Health is the region's largest not-for-profit healthcare organization, with 12 hospitals, over 29,000 employees, 4,500 physicians and 200 outpatient centers, urgent care facilities and physician practices across Miami-Dade, Monroe, Broward and Palm Beach counties. With internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences, Baptist Health is supported by philanthropy and driven by its faith-based mission of medical excellence.

For 26 years, we've been named one of Fortune's 100 Best Companies to Work For, and in the  U.S. News & World Report Best Hospital Rankings, Baptist Health was the most awarded healthcare system in South Florida, earning 63 high-performing honors.

What truly sets us apart is our people. At Baptist Health, we create personal connections with our colleagues that go beyond the workplace, and we form meaningful relationships with patients and their families that extend beyond delivering care. Many of us have walked in our patients' shoes ourselves and that shared experience fuels our commitment to compassion and quality. Our culture is rooted in purpose, and every team member plays a part in making a positive impact – because when it comes to caring for people, we're all in.

At Baptist Health we’re committed to supporting our employees at every stage of their journey, both personally and professionally. Our approach is rooted in a “grow our own” philosophy, designed to help our team members build meaningful, long‑term careers with us, supported by benefits that make a real difference, including:

• Career growth and development opportunities, with clear pathways and ongoing support
• Comprehensive health and wellness resources that go beyond traditional benefits
• A wellness program that can help employees eliminate their medical plan deductible, reducing out‑of‑pocket healthcare costs
• Tuition reimbursement to support continued learning and advancement
• And so much more

We are looking for a lead data engineer who is highly collaborative and comfortable with ambiguity and change in a fast‑paced environment. The successful candidate will partner closely with various teams to design, build and maintain data systems and applications. Must be a self‑starter, highly organized, and possess strong problem‑solving and learning skills to work with teams to analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast‑growing data ecosystem.

Leverage strong understanding of data modeling principles and modern data platforms to properly design and implement data pipeline solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhere to the defined SLA(s). Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams.

Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus. Estimated salary range for this position is $ - $ / year depending on experience.

• Bachelor’s degree

• Bachelor’s degree in computer science or related field
• Master’s degree preferred
• At least 10 years with a Bachelor’s and at least 8 years with a Master’s of recent experience in data engineering and end‑to‑end automation of data pipelines
• Healthcare experience and Epic systems experience strongly preferred
• Strong understanding of relational & No
  
  SQL databases and data structures required
• Strong understanding of data science and business intelligence workflows
• Programming experience ideally in Python & Java
• Experience with large‑scale data warehousing and analytics projects, including using AWS technologies
• Proven track record of successful written communication, technically deep and business savvy
• Experience with machine learning toolkits
• Experience in production support and troubleshooting
• 10+ years of hands‑on experience with modern data platforms (Snowflake, Redshift, etc.) required
• Data warehouse design/architecture with AWS, Data Vault 2, dimensional modeling, orchestration tools like Airflow, Control‑M, containerization of applications (Docker & Kubernetes)
• Cloud Formation and Terraform—AWS Services (S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS, etc.)
• Agile methodology and Dev Ops process, modern data integration tools (DBT, Informatica Power Center, AWS Glue or similar)
• 3+ years of data modeling and familiarity with AI/ML and BI tools, a plus

Minimum

Required Experience:

10 Years

EOE, including disability/vets