Lead Cloud Data Engineer

🔥 3 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $128.7k - $167.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Baptist Health

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🤝 Non-profit

Healthcare • Non-profit

Baptist Health is the region's largest not-for-profit healthcare organization in South Florida. It operates 12 hospitals, more than 29,000 employees, 4,500 physicians, and roughly 200 outpatient centers, urgent care facilities, and physician practices across Miami-Dade, Monroe, Broward, and Palm Beach counties. The system includes renowned centers of excellence in cancer, heart and vascular, brain and spine, and orthopedic care, and is supported by philanthropy and a faith-based mission. Baptist Health emphasizes clinical quality, patient safety, staff development, and community-oriented care.

📋 Description

• Partner with various teams to design, build, and maintain data systems and applications • Analyze and design data storage structures • Build performant, automated, reliable, and scalable data pipelines • Apply data modeling principles and modern data platforms to implement pipeline solutions • Work with analytic SQL, relational databases, and distributed systems such as AWS S3, Hadoop/Hive, and Redshift • Provide production support and adhere to defined SLAs • Test and validate solutions according to industry best practices • Apply data security, compliance, and healthcare policies • Collaborate and communicate with peers across technology teams and organizational levels

🎯 Requirements

• Bachelor's degree in computer science or related field • Master's degree preferred • At least 10 years of recent experience in data engineering and end-to-end automation of data pipelines with a Bachelor's degree, or at least 8 years with a Master's degree • 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 AWS technologies • Proven written communication skills and technical and business acumen • Experience with machine learning toolkits • Experience in production support and troubleshooting • 10+ years of hands-on experience with modern data platforms such as Snowflake and Redshift • 10+ years of hands-on experience with data warehouse design and architecture using AWS, Data Vault 2.0 or dimensional modeling, Airflow, Control-M, Docker, Kubernetes, CloudFormation, Terraform, and AWS services • Experience with Agile methodology, DevOps processes, and modern data integration tools such as dbt, Informatica PowerCenter, or AWS Glue • 3+ years of data modeling experience and familiarity with AI/ML and BI tools is a plus • Big Data Engineering, Python, and SQL • Advanced proficiency in healthcare dimensional modeling, including star and snowflake schemas • Practical experience with medical ontologies and semantics, including ICD-10, SNOMED-CT, LOINC, and RxNorm • Production engineering experience with GCP data services, including GCS, Dataproc, BigQuery, Cloud Run, Cloud Run Functions, and Cloud Composer • Experience configuring Cloud IAM role-based access control, using GCP Secret Manager, and complying with HIPAA security rules for PHI • Strong Python and PySpark skills, including tuning distributed jobs, handling partition skew, and optimizing Spark cluster resources • Deep experience with dbt Core or dbt Cloud, reusable SQL models, automated testing, and data dictionary documentation • Advanced workflow orchestration with Apache Airflow/Cloud Composer and Control-M • Hands-on integration with Collibra for business glossaries, technical data dictionaries, and data lineage • Minimum required experience: 10 years

🏖️ 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