Lead Cloud Data Engineer - Healthcare Data Platform

Baptist Health; Florida; On-site; USD 129,000 - 167,000; Full time

Benefits offered by this job

Tuition reimbursement

Career growth opportunities

Health and wellness resources

Job summary

Baptist Health is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines across hospital data sources. You will partner with analytics, BI, and clinical teams to implement robust data models and ensure secure, compliant data flows in a healthcare setting.

The role demands strong Python/SQL, experience with Snowflake/Redshift, and expertise in Airflow and cloud data platforms. A 10+ year track record in data engineering is expected.

Qualifications

• Bachelor's degree in computer science or related field.
• 10+ years of data engineering experience with end-to-end automation of data pipelines.
• Strong experience with AWS technologies and modern data platforms (Snowflake, Redshift).
• Healthcare data knowledge, HIPAA awareness, and production support experience preferred.

Responsibilities

• Lead design, development, and maintenance of scalable data pipelines.
• Partner with analytics, engineering, and product teams to translate needs into robust data models.
• Ensure data quality, security, and governance in healthcare environments.
• Provide production support and optimize data workflows for performance and reliability.

Skills

Big Data Engineering

Python

SQL

Java

AWS technologies

Data warehousing

Airflow

dbt

PySpark

GCP

Education

Bachelor's degree

Master's degree preferred

Tools

Snowflake

Redshift

Airflow

Control-M

Kubernetes

Terraform

CloudFormation

dbt

Collibra

Google Cloud Platform

Job description

Baptist Health is seeking a Lead Data Engineer to design, build, and maintain scalable data pipelines across hospital data sources. You will partner with analytics, BI, and clinical teams to implement robust data models and ensure secure, compliant data flows in a healthcare setting.

The role demands strong Python/SQL, experience with Snowflake/Redshift, and expertise in Airflow and cloud data platforms. A 10+ year track record in data engineering is expected.