Lead Healthcare Cloud Data Engineer

Join Baptist Health South Florida as a Lead Healthcare Cloud Data Engineer and help shape data systems in a compliant healthcare environment. This onsite role is based in Coral Gables, FL and offers clear opportunities for career growth, comprehensive health resources, a wellness program that can help eliminate your medical plan deductible, and tuition reimbursement. The annual compensation ranges from $126,148 to $163,993, depending on experience.

Benefits

• Career growth and development opportunities
• Comprehensive health and wellness resources
• A wellness program that can help employees eliminate their medical plan deductible
• Tuition reimbursement

Responsibilities

• Collaborate with multiple teams to design, build, and maintain data systems and applications
• Analyze and design data storage structures
• Develop performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem
• Apply data modeling principles and modern data platforms to design and implement data pipeline solutions
• Utilize analytic SQL and work with relational databases and distributed systems such as AWS S3, Hadoop/Hive, and Redshift
• Provide production support and adhere to defined SLA(s)
• Demonstrate strong technical skills and meticulous attention to detail
• Ensure data security, compliance, and policies in healthcare services
• Test and validate according to industry best practices and communicate effectively with technology peers
• Communicate clearly with strong interpersonal, written, and oral skills across all levels of the organization
• Prior healthcare experience is a plus

Requirements

• Bachelor's degree in computer science or a related field
• Master's degree preferred
• Minimum 10 years of data engineering experience with a Bachelor's, or 8+ years with a Master's, focused on end-to-end automation of data pipelines
• Healthcare experience and Epic systems experience strongly preferred
• Strong understanding of relational and NoSQL databases and data structures
• Solid understanding of data science and business intelligence workflows
• Programming experience in Python and Java
• Experience with large-scale data warehousing and analytics projects, including AWS technologies
• Proven track record of written communication, with strong technical and business acumen
• Experience with machine learning toolkits
• Production support and troubleshooting experience
• 10+ years hands-on with modern data platforms (Snowflake, Redshift, etc). 10+ years in data warehouse design/architecture on AWS, Data Vault 2.0 or Dimensional Modeling
• Experience with orchestration tools like Airflow or similar, containerization (Docker & Kubernetes), CloudFormation and Terraform, and AWS services (S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS, etc)
• Agile methodology and DevOps processes; familiarity with modern data integration tools (DBT, Informatica PowerCenter, AWS Glue or similar)
• 3+ years of data modeling and familiarity with AI/ML and BI tools is a plus

Technologies

• AWS S3, Hadoop, Hive, Redshift, Snowflake, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS
• Airflow, Control-M, Docker, Kubernetes
• CloudFormation, Terraform
• DBT, Informatica PowerCenter, AWS Glue or similar
• Python, Java