Lead Data Engineer

Lead Data Engineer

Job Description

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).

Qualifications

Required Skills

- 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

Preferred Experience

- 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

Required Experience

- 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

What You’ll Do

- 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

Compensation

The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location.

Benefits

BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.