Baptist Health
Lead Cloud Data Engineer, Remote, Technology & Digital, FT, 8A-5P
Baptist Health, Florida, New York, United States
Overview
Lead Cloud Data Engineer, Remote, Technology & Digital, FT, 8A-5P. Baptist Health is the region’s largest not-for-profit healthcare organization, with 12 hospitals, over 28,000 employees, 4,500 physicians and 200 outpatient centers, urgent care facilities and physician practices across Miami-Dade, Monroe, Broward and Palm Beach counties. With internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences, Baptist Health is supported by philanthropy and driven by its faith-based mission of medical excellence. For 25 years, we’ve been named one of Fortune’s 100 Best Companies to Work For. In 2024-2025, Baptist Health was the most awarded healthcare system in South Florida, earning 45 high-performing honors. What truly sets us apart is our people. At Baptist Health, we create personal connections with our colleagues that go beyond the workplace, and we form meaningful relationships with patients and their families that extend beyond delivering care. Many of us have walked in our patients’ shoes ourselves and that shared experience fuels our commitment to compassion and quality. Our culture is rooted in purpose, and every team member plays a part in making a positive impact — because when it comes to caring for people, we’re all in. Base pay range : $126,148.63/yr - $163,993.22/yr Responsibilities
Partner with various teams to design, build and maintain data systems and applications. Analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable. Leverage data modeling principles and modern data platforms to design and implement data pipeline solutions. Work with analytic SQL and traditional relational databases and/or distributed systems such as AWS S3, Hadoop/Hive, Redshift. Provide production support and adhere to defined SLAs. Demonstrate strong technical skills, attention to detail, and adherence to data security, compliance, and healthcare policies. Communicate effectively with peers across technology teams and at all levels of the organization. Qualifications
Bachelors degree in computer science or related field; Master’s degree preferred. Minimum 10 years of experience in data engineering and end-to-end automation of data pipelines (10+ years with a Bachelors; 8+ years with a Masters). Technical skills: Data Warehousing, strong SQL, Python; experience with Snowflake, Redshift, AWS, GCP; DBT Cloud, GitLab, Terraform, Serverless EMR, Snowflake, AWS services (S3, Glue, Athena), Data Vault 2. Familiarity with data science and BI workflows; experience in production support and troubleshooting. Strong written and verbal communication; ability to work with all levels of the organization; healthcare industry experience is a plus. Experience with orchestration and deployment tools (Airflow, Terraform, CloudFormation), containerization (Docker/Kubernetes); agile methodology and DevOps processes. 3+ years of data modeling and familiarity with AI/ML and BI tools is a plus. Minimum required experience: 10 years. Equal Opportunity
EOE, including disability/veterans
#J-18808-Ljbffr
Lead Cloud Data Engineer, Remote, Technology & Digital, FT, 8A-5P. Baptist Health is the region’s largest not-for-profit healthcare organization, with 12 hospitals, over 28,000 employees, 4,500 physicians and 200 outpatient centers, urgent care facilities and physician practices across Miami-Dade, Monroe, Broward and Palm Beach counties. With internationally renowned centers of excellence in cancer, cardiovascular care, orthopedics and sports medicine, and neurosciences, Baptist Health is supported by philanthropy and driven by its faith-based mission of medical excellence. For 25 years, we’ve been named one of Fortune’s 100 Best Companies to Work For. In 2024-2025, Baptist Health was the most awarded healthcare system in South Florida, earning 45 high-performing honors. What truly sets us apart is our people. At Baptist Health, we create personal connections with our colleagues that go beyond the workplace, and we form meaningful relationships with patients and their families that extend beyond delivering care. Many of us have walked in our patients’ shoes ourselves and that shared experience fuels our commitment to compassion and quality. Our culture is rooted in purpose, and every team member plays a part in making a positive impact — because when it comes to caring for people, we’re all in. Base pay range : $126,148.63/yr - $163,993.22/yr Responsibilities
Partner with various teams to design, build and maintain data systems and applications. Analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable. Leverage data modeling principles and modern data platforms to design and implement data pipeline solutions. Work with analytic SQL and traditional relational databases and/or distributed systems such as AWS S3, Hadoop/Hive, Redshift. Provide production support and adhere to defined SLAs. Demonstrate strong technical skills, attention to detail, and adherence to data security, compliance, and healthcare policies. Communicate effectively with peers across technology teams and at all levels of the organization. Qualifications
Bachelors degree in computer science or related field; Master’s degree preferred. Minimum 10 years of experience in data engineering and end-to-end automation of data pipelines (10+ years with a Bachelors; 8+ years with a Masters). Technical skills: Data Warehousing, strong SQL, Python; experience with Snowflake, Redshift, AWS, GCP; DBT Cloud, GitLab, Terraform, Serverless EMR, Snowflake, AWS services (S3, Glue, Athena), Data Vault 2. Familiarity with data science and BI workflows; experience in production support and troubleshooting. Strong written and verbal communication; ability to work with all levels of the organization; healthcare industry experience is a plus. Experience with orchestration and deployment tools (Airflow, Terraform, CloudFormation), containerization (Docker/Kubernetes); agile methodology and DevOps processes. 3+ years of data modeling and familiarity with AI/ML and BI tools is a plus. Minimum required experience: 10 years. Equal Opportunity
EOE, including disability/veterans
#J-18808-Ljbffr