Lead Data Engineer

Responsibilities

• Design, build, and optimize scalable data pipelines for healthcare analytics
• Lead automation efforts across ingestion, transformation, and orchestration
• Develop ingestion frameworks for structured and semi-structured healthcare data
• Build and expand semantic data layers within GCP and BigQuery
• Design scalable ELT/ETL workflows using cloud-native architecture
• Partner with architects and stakeholders to translate requirements into technical solutions
• Optimize BigQuery performance, partitioning, and cost management
• Implement engineering best practices for testing, observability, and deployment
• Mentor junior engineers and provide technical leadership

Requirements

• 7+ years of experience in data engineering or cloud data platform development
• Strong expertise in Google Cloud Platform (GCP), including BigQuery, Cloud Storage, and Cloud Composer
• Experience with Dataflow or modern ingestion frameworks
• Advanced SQL and Python development skills
• Strong understanding of semantic layer development and dimensional modeling
• Experience with ETL/ELT pipeline design and orchestration
• Familiarity with CI/CD and infrastructure automation
• Proven experience delivering enterprise-scale cloud data solutions in GCP
• Experience leading technical workstreams or mentoring teams

Preferred Qualifications

• Experience working with healthcare data ecosystems and regulated environments
• Familiarity with healthcare data standards or payer/provider analytics platforms
• Experience supporting enterprise BI and analytics initiatives
• Exposure to dbt, Looker, or semantic modeling frameworks
• Consulting or client-facing experience

About the Company

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients.