Senior Data Engineer

Blend360 is a company that helps organizations transform complex data into actionable insights through modern cloud platforms and advanced analytics. They are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion and pipeline automation within Google Cloud Platform.

Responsibilities:

• 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

Requirements:

• 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
• 5+ years of experience in data engineering or cloud data platform development
• Proven experience delivering enterprise-scale cloud data solutions within GCP environments
• Experience contributing to large-scale data modernization or analytics transformation initiatives
• Consulting or client-facing delivery experience strongly preferred
• Experience working within healthcare data ecosystems and regulated enterprise environments
• Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards
• Experience supporting enterprise BI and analytics initiatives
• Exposure to dbt, Looker, or semantic modeling frameworks is a plus