Senior Data Engineer

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