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Lead Cloud Data Engineer
Baptist HealthPosted 10/21/2026full-timeRemote • Florida • United StatesSenior💰 $128,672 - $167,273 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering, including the design and automation of data pipelines, proficiency in programming languages such as Python and Java, and a strong understanding of data warehousing and analytics using AWS technologies. Familiarity with healthcare data modeling and compliance standards is essential.
Highest-signal resume keywords
Data EngineeringAWS TechnologiesPython ProgrammingData Warehouse DesignHealthcare Dimensional Modeling
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline AutomationRelational DatabasesNoSQL DatabasesData ModelingSQLMachine Learning ToolkitsBig Data EngineeringAdvanced Workflow OrchestrationData Security ComplianceProduction Support
Soft Skills
Written CommunicationCollaborationTechnical AcumenBusiness Acumen
Tools & Technologies
AWS S3HadoopRedshiftSnowflakeAirflowDockerKubernetesCloudFormationTerraformDbt
Industry Keywords
Healthcare PoliciesHIPAA ComplianceICD-10SNOMED-CTLOINCRxNormData Vault 2.0Agile MethodologyDevOps ProcessesGCP Data Services