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Closed on August 27, 2026.
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Lead Healthcare Cloud Data Engineer
Senior
AWS
Big Data
Bigdata
Cloud
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Engineering
ETL
SQL
Technical Lead
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Job Description
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
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