Role OverviewWe 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).
What You Will 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.
Why It Might Be a Fit
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
- 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
- Experience working with healthcare data ecosystems and regulated enterprise environments
- 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
Benefits
- Medical
- Dental
- Vision
- 401K
- PTO
- Paid holidays
- Commuter benefits
- Spending accounts
- Life insurance
- Disability coverage
- EAPs
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