Hybrid Data Engineer III — AI-Driven Health Pipelines

Verily Life Sciences LLC; San Bruno (CA); Hybrid; USD 106,000 - 159,000; Full time

Job summary

Verily Life Sciences LLC is seeking a Data Engineer III to join our hybrid team in San Bruno, CA. You will design, develop, test, deploy, and maintain analytical data models and pipelines across the data stack, collaborating with engineering and analytics teams to deliver scalable solutions for research and care programs.

In this role you will own data modeling, work with SQL and ETL, and apply dbt while guiding peers in best practices.

Qualifications

• BS degree or equivalent practical experience.
• 4+ years experience with data architecture, data engineering, or analytics engineering, including SQL and ETL.
• 2+ years experience with the dbt (data build tool) library.
• Experience collaborating across a broad organization.

Responsibilities

• Design, develop, test, deploy, maintain and improve the analytical data models and pipelines.
• Contribute to cross-functional team efforts, driving engineering solutions that deliver significant value to partners.
• Manage individual project priorities, deadlines and deliverables while ensuring adherence to agile principles to design iteratively and adapt to changing requirements.
• Collaborate with engineers and analysts, contribute to technical designs, and support intuitive, performant and high-quality data models.

Skills

SQL & ETL

dbt

Cross-functional collaboration

Python or Go

Education

BS degree or equivalent practical experience

Tools

Python

Go

Job description

Verily Life Sciences LLC is seeking a Data Engineer III to join our hybrid team in San Bruno, CA. You will design, develop, test, deploy, and maintain analytical data models and pipelines across the data stack, collaborating with engineering and analytics teams to deliver scalable solutions for research and care programs.

In this role you will own data modeling, work with SQL and ETL, and apply dbt while guiding peers in best practices.