[Remote] Lead Cloud Data Engineer, Technology and Digital, FT, 09A-5:30P

Note: The job is a remote job and is open to candidates in USA. Baptist Health is hiring a Lead Cloud Data Engineer to design, build, and maintain data systems and applications. The role partners with teams to develop reliable, scalable data pipelines and provide production support within a healthcare data environment.

Responsibilities

• Partner closely with various teams to design, build and maintain data systems and applications
• 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
• Provide production support and adhering to the defined SLA(s)
• Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams

Skills

• Bachelors
• Bachelors degree in computer science or related
• 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
• Strong understanding of relational & NoSQL databases and data structures required
• Strong understanding of data science and business intelligence workflows
• Programming exp ideally in Python & Java
• Exp with large-scale data warehousing and analytics projects, including using AWS technologies
• Proven track record of successful written communication, technically deep and business savvy
• Exp with machine learning toolkits
• Exp in production support and troubleshooting
• *10+ years of hands-on with: modern data platforms (Snowflake, Redshift, etc) required
• *10+ years of hands-on: data warehouse design/architecture with AWS, Data Vault 2.0 Or 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)
• Big Data Engineering, Python, and SQL
• Healthcare Dimensional Modeling: Advanced proficiency in designing star and snowflake schemas specifically structured for healthcare analytics, clinical quality measures, operational efficiency, and revenue cycle reporting
• Medical Ontologies and Semantics: Practical background mapping and normalizing internal hospital codes against standardized medical vocabularies, including ICD-10, SNOMED-CT, LOINC, and RxNorm, ensuring consistent definitions across enterprise records
• Google Cloud Platform (GCP): Practical production engineering experience with GCP data services, including Google Cloud Storage (GCS), Dataproc (for running Spark and PySpark jobs), BigQuery, Cloud Run, Cloud Run Functions, and Cloud Composer (managed Apache Airflow)
• Cloud Security and Identity: Experience configuring role-based access control with Cloud IAM, securing credentials with GCP Secret Manager, and observing strict HIPAA security rules for protected health information (PHI)
• Python and PySpark: Strong programming foundation in Python combined with hands-on big data processing using PySpark. Proven experience tuning distributed jobs, handling partition skew, and optimizing resource allocation on Spark clusters
• Modern Transformation with dbt: Deep experience modeling data with dbt Core or dbt Cloud inside cloud data warehouses, establishing reusable SQL models, automated testing, and comprehensive data dictionary documentation
• Data Lakehouse and Snowflake
• Workflow Orchestration: Advanced scheduling and dependency management using Apache Airflow (Cloud Composer) and enterprise job schedulers like Control-M
• Enterprise Data Governance: Hands-on integration of data pipelines with Collibra to maintain enterprise business glossaries, technical data dictionaries, and automated data lineage tracking
• Minimum Required Experience: 10 Years
• Master's degree preferred
• 3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus
• Prior experience in the healthcare industry is a plus

Benefits

• 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
• Remote work in Florida, USA

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