Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Medical
- Dental
- Vision
- 401K
- PTO
- Paid holidays
- Commuter benefits
- Spending accounts
- Life insurance
- Disability coverage
- EAPs
Company Overview
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