Lead Data Engineer
About The Position
BLEND360 is seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
Requirements
- Strong expertise in Google Cloud Platform (GCP), particularly: BigQuery, Cloud Storage, Cloud Composer / orchestration tooling, Dataflow or modern ingestion frameworks
- Experience designing and building scalable data ingestion and pipeline automation frameworks
- Strong understanding of semantic layer development and dimensional modeling concepts
- Advanced SQL and Python development skills
- Experience with ETL/ELT pipeline design and orchestration
- Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices
- Strong understanding of data quality, observability, and operational reliability principles
- 7+ years of experience in data engineering or cloud data platform development
- Proven experience delivering enterprise-scale cloud data solutions in GCP environments
- Experience leading technical workstreams or mentoring engineering teams
- Consulting or client-facing experience strongly preferred
Nice To Haves
- Experience working with healthcare data ecosystems and regulated enterprise environments
- Familiarity with healthcare data standards or payer/provider analytics platforms
- Experience supporting enterprise BI and analytics initiatives
- Exposure to dbt, Looker, or semantic modeling frameworks is a plus
Responsibilities
- Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases
- Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
- Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources
- Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption
- Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns
- Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions
- Optimize BigQuery performance, partitioning, and cost management strategies
- Implement engineering best practices for testing, observability, reliability, and deployment automation
- Support data governance, data quality, and metadata management initiatives across the platform
- Mentor junior engineers and provide technical leadership across delivery teams
Benefits
- medical
- dental
- vision
- 401K
- PTO
- paid holidays
- commuter benefits
- spending accounts
- life insurance
- disability coverage
- EAPs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
