Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives
Build and automate ingestion frameworks for structured and semi-structured healthcare data sources
Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams
Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns
Automate orchestration, monitoring, and operational processes across the data platform
Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions
Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management
Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support
Contribute to data governance, metadata management, and data quality initiatives across the platform
Mentor junior engineers and contribute to a collaborative, high-performing engineering culture

5+ years of experience in data engineering or cloud data platform development
Strong expertise in Google Cloud Platform (GCP), including: BigQuery, Cloud Storage, Cloud Composer or orchestration tooling, Dataflow or modern ingestion frameworks
Experience designing and building scalable data ingestion and pipeline automation solutions
Strong understanding of semantic layer development and dimensional modeling concepts
Advanced SQL and Python development skills
Experience with ELT/ETL pipeline design, orchestration, and optimization
Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices
Strong understanding of data quality, observability, and operational reliability principles
Experience working within healthcare data ecosystems and regulated enterprise environments preferred
Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards
Experience supporting enterprise BI and analytics initiatives
Consulting or client-facing delivery experience strongly preferred.

Senior Data Engineer

Key skills