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

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 the region's largest not-for-profit healthcare organization, with 12 hospitals, over 29,000 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 26 years, we've been named one of Fortune's 100 Best Companies to Work For, and in the 2025-2026 U.S. News & World Report Best Hospital Rankings, Baptist Health was the most awarded healthcare system in South Florida, earning 63 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 out 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.

Benefits

At Baptist Health, we’re committed to supporting our employees at every stage of their journey, both personally and professionally. Our approach is rooted in a “grow our own” philosophy, designed to help our team members build meaningful, long‑term careers with us, supported by benefits that make a real difference, including:

• 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
• And so much more

Together, these benefits and others reflect our commitment to caring for our people, so they can build fulfilling careers with us while making a meaningful impact every day.

Description

We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast‑paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self‑starter and highly organized with strong problem‑solving and learning skills to 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. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail‑oriented. Good understanding of data security, compliance, and policies in healthcare services. Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams. Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus. Estimated salary range for this position is $128671.60 - $167273.08 / year depending on experience.

Qualifications

Degrees:

• Bachelors.

Additional Qualifications

• Bachelors degree in computer science or related.
• Master's degree preferred.
• 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) preferred *3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus.

• 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).
• Big Data Engineering, Python, and SQL
• 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

EOE, including disability/vets