Blend360 LLC
Lead Data Engineer
Columbia, MD, United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card intent detected
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients.
- 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.
Responsibilities
- Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
- 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
- Experience designing and building scalable data ingestion and pipeline automation frameworks
- 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.
Requirements
- Strong expertise in Google Cloud Platform (GCP), particularly:
- Strong understanding of semantic layer development and dimensional modeling concepts
- 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
- Experience supporting enterprise BI and analytics initiatives
- 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
- Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Nice to have
- Exposure to dbt, Looker, or semantic modeling frameworks is a plus
- Consulting or client-facing experience strongly preferred
- Preferred Experience
Compensation
- $150k-$160k
Benefits
- We are 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).
- Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases
- Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources
- Experience working with healthcare data ecosystems and regulated enterprise environments
- Familiarity with healthcare data standards or payer/provider analytics platforms
This listing is sourced directly from Blend360 LLC's careers page and normalized into a canonical job model.