Lead Cloud Data Engineer

Join Baptist Health South Florida as a Lead Cloud Data Engineer in Florida (onsite), partnering with cross-functional teams to design, build, and maintain data systems and applications. This role emphasizes scalable, automated data pipelines, production support with SLA adherence, and strong healthcare data security and compliance knowledge, with growth and learning support built into the role.

What you’ll do

• Partner closely with teams to design, build, and maintain data systems and applications.
• Design and analyze data storage structures and implement performant automated data pipelines that are reliable and scalable in a fast-growing data environment.
• Apply data modeling principles and modern data platform expertise to design and implement pipeline solutions.
• Provide production support while adhering to defined SLA(s).
• Test and validate solutions using industry best practices and communicate results effectively with peers across technology teams.

What you bring

• Self-starter who is highly organized, with strong problem-solving and learning skills.
• Strong technical abilities with proven attention to detail.
• Good understanding of data security, compliance, and policies in healthcare services.
• Demonstrated ability to test and validate per industry best practices and communicate clearly with technology peers.
• Strong interpersonal and communication skills (written and oral) with the ability to work across all levels of the organization.
• Bachelor’s degree in computer science or a related field.
• Experience requirements: 10+ years with a Bachelor’s, and 8+ years with a Master’s, with recent experience in data engineering and end-to-end automation of data pipelines.
• Strong understanding of relational and NoSQL databases and data structures.
• Understanding of data science and business intelligence workflows, including tools and processes used in those areas.
• Programming experience ideally in Python and Java.
• Experience with large-scale data warehousing and analytics projects, including using AWS technologies.
• Hands-on experience with modern data platforms: 10+ years (including Snowflake, Redshift, etc.).
• Hands-on experience with AWS data warehouse design/architecture including Data Vault 2: 10+ years.
• Experience in production support and troubleshooting.
• Experience with machine learning toolkits.
• Experience with data modeling and AI/ML and BI tools (3+ years is a plus).
• Big Data Engineering: Python and SQL.
• Healthcare-specific dimensional modeling for star and snowflake schemas for healthcare analytics, clinical quality measures, operational efficiency, and revenue cycle reporting.
• Background mapping and normalizing internal hospital codes to standardized medical vocabularies such as ICD-10, SNOMED-CT, LOINC, and RxNorm.
• Practical production engineering experience with GCP data services, including GCS, Dataproc, BigQuery, Cloud Run, Cloud Run Functions, and Cloud Composer.
• Cloud security and identity experience, including Cloud IAM, GCP Secret Manager, and following HIPAA requirements for PHI.
• Strong Python and PySpark background, including tuning distributed jobs and optimizing resource allocation on Spark clusters.
• Modern transformation experience with dbt Core or dbt Cloud, including reusable SQL models, automated testing, and data dictionary documentation.
• Workflow orchestration experience using Apache Airflow (Cloud Composer) and enterprise schedulers like Control-M.
• Enterprise data governance experience integrating pipelines with Collibra for business glossaries, technical dictionaries, and automated data lineage tracking.

Salary

Estimated range: $128,671.60 - $167,273.08 per year, depending on experience.

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.