Lead Healthcare Cloud Data Engineer

The Lead Healthcare Cloud Data Engineer partners with multiple teams to design, build, and maintain data systems and pipelines within a compliant healthcare environment.

Responsibilities

• Collaborate with cross functional groups to design, build, and maintain data systems and applications.
• Analyze and design data storage structures to support analytics and operations.
• Develop performant automated data pipelines that are reliable and scalable in a rapidly expanding data ecosystem.
• Apply data modeling principles and modern data platforms to implement robust pipeline solutions.
• Utilize analytic SQL and work with traditional relational databases as well as distributed systems such as AWS S3, Hadoop/Hive, and Redshift.
• Provide production support and adhere to defined service level agreements.
• Demonstrate strong technical skills with meticulous attention to detail.
• Ensure data security, compliance, and policy adherence in healthcare services.
• Test and validate according to industry best practices and communicate effectively with technology peers.
• Communicate clearly with strong interpersonal, written, and verbal abilities across all organizational levels.
• Prior healthcare experience is a plus, with Epic systems experience strongly preferred.

Requirements

• Bachelor's degree in computer science or a related field; Master's degree preferred.
• Minimum of 10 years of data engineering experience with a Bachelor's degree, or at least 8 years with a Master's degree in end-to-end automation of data pipelines.
• Healthcare experience and Epic systems experience strongly preferred.
• Solid understanding of relational and NoSQL databases and data structures.
• Knowledge 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 ability to communicate in writing, with technical depth and business acumen.
• Experience with machine learning toolkits.
• Experience in production support and troubleshooting.
• 10+ years of hands-on work with modern data platforms (Snowflake, Redshift, etc.) and 10+ years in data warehouse design/architecture with AWS, Data Vault 2, or Dimensional Modeling; familiarity with orchestration tools such as Airflow or Control-M; containerization with Docker and Kubernetes; Cloud Formation and Terraform; AWS services including S3, Glue, Athena, Lake Formation, DynamoDB, DMS, RDS, etc.; Agile methodologies and DevOps processes; 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
• Python
• Java

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

Compensation

Salary range: USD 126,148 - 163,993 per year, commensurate with experience.

Location

Coral Gables, FL, onsite