We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making. The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments. What You’ll Do 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  
