Lead Healthcare Cloud Data Engineer

Baptist Health South Florida offers a path for career growth, comprehensive health and wellness resources, a wellness program that can help employees eliminate their medical plan deductible, and tuition reimbursement. This onsite role in Coral Gables, FL provides a salary range of USD 126,148 to 163,993 per year, and the chance to collaborate across teams in a compliant healthcare environment.

Responsibilities

• Partner closely with various teams to design, build and maintain data systems and applications.
• Analyze and design data storage structures.
• Build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem.
• Leverage data modeling principles and modern data platforms to design and implement data pipeline solutions.
• Use analytic SQL, and work 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).
• Demonstrate strong technical skills and attention to detail.
• Ensure data security, compliance, and policies in healthcare services.
• Test and validate according to industry best practices and communicate effectively with peers in technology teams.
• Communicate effectively with strong interpersonal, written, and oral communication skills across all levels of the organization.
• Prior experience in the healthcare industry is a plus.

Requirements

• Bachelors degree in computer science or related; Master’s degree preferred.
• At least 10 years with a Bachelors and at least 8 years with a Master 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 and NoSQL databases and data structures.
• Strong understanding of data science and business intelligence workflows.
• Programming experience ideally in Python and 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; 10+ years of hands-on data warehouse design/architecture with AWS, Data Vault 2, or Dimensional Modeling, along with orchestration tools like Airflow or Control-M, containerization (Docker & Kubernetes), CloudFormation and Terraform, and AWS services (S3, AWS Glue, Athena, Lake Formation, DynamoDB, DMS, RDS, etc); Agile methodology and DevOps processes; modern data integrations tools (DBT, Informatica PowerCenter, AWS Glue or similar) preferred; 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