Lead Healthcare Data Engineer – Epic, Hybrid, Technology & Digital,FT

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 2025-2026 U.S. News & World Report Best Hospital Rankings, Baptist Health was the most awarded healthcare system in South Florida, earning 63 high-performing honors.

Are you the right candidate for this opportunity Make sure to read the full description below.

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

Together, these benefits and others reflect our commitment to caring for our people, so they can build fulfilling careers with us while making a meaningful impact every day.

Description:

We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast-paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self-starter and highly organized with strong problem-solving and learning skills to work with various teams 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 adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail-oriented. Good understanding of data security, compliance, and policies in healthcare services. 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 $126,148.63 - $163,993.22 / year depending on experience.

Qualifications:

Qualifications:

Bachelors degree in computer science or related.
Master's degree preferred.
Highly prefer Epic Certified in Caboodle and Clarity Data Models.
Must possess strong understanding of Clarity Data Models and associated databases.
Possess proven experience working with data warehouse architecture and solutions.
At least 10 yrs with a Bachelors and at least 8 yrs with a Masters of recent exp in data engineering and end-to-end automation of data pipelines.
Technical Skills: Data Warehousing, Strong SQL, and Python
Strong understanding of data science and business intelligence workflows.
Programming exp ideally in Python & SQL
exp with large-scale data warehousing and analytics projects, including using AWS and GCP technologies.
Proven track record of successful written communication, technically deep and business savvy.
Snowflake, DBTCloud, Gitlab, Terraform, Serverless EMR strongly preferred.
Experience in production support and troubleshooting.
Hands-on experience with modern data platforms (Snowflake, Redshift, etc) required
10+ years of hands-on: data warehouse design/architecture with AWS, Data Vault 2.
Helpful to have 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 DevOps process, modern data Integrations tools (DBT, Informatica Power Center, AWS Glue or similar) preferred *3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus. xywuqvp

Minimum Required Experience: 10 Years

EOE, including disability/vets
Remote working/work at home options are available for this role.