Lead Data Engineer
$117K - $140K/yr
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is ...
1 Blend Software Jobs Hiring Near You
Lead Data Engineer
$117K - $140K/yr
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is ...
Blend Jobs Information
What are the most popular job types at Blend?
Job description
Job Summary:
BLEND360 is a forward-thinking Data, Digital Marketing, & AI Solutions Company that focuses on delivering exceptional outcomes for Fortune 500 clients. They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). The role involves designing scalable data pipelines, leading automation efforts, and mentoring junior engineers while ensuring data quality and governance.
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
Qualifications:
Required:
• 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
Preferred:
• 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
• Consulting or client-facing experience strongly preferred
Company:
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is headquartered in Columbia, USA, with a team of 501-1000 employees. The company is currently Late Stage.
BLEND360 is a forward-thinking Data, Digital Marketing, & AI Solutions Company that focuses on delivering exceptional outcomes for Fortune 500 clients. They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). The role involves designing scalable data pipelines, leading automation efforts, and mentoring junior engineers while ensuring data quality and governance.
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
Qualifications:
Required:
• 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
Preferred:
• 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
• Consulting or client-facing experience strongly preferred
Company:
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is headquartered in Columbia, USA, with a team of 501-1000 employees. The company is currently Late Stage.