Job description

Who We Are Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise. Description This role will support the analytics and data needs for Verily’s first-party solutions to support research and care programs. This role will work broadly in the data stack in Verily’s Precision Health Platform: collaborating across and between Engineering and Data teams, deeply understanding data sources, owning data modeling, and supporting the needs of Product and Analytics. 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. Qualifications Minimum 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 with collaboration and prioritization across a broad organization. Preferred Qualifications Experience supporting software in the health care field. Familiarity with object-oriented programming in a language such as Python or Go. Experience mentoring analysts and engineers in SQL optimization and data best practices. Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States. The US base salary range for this full-time position is $106,000 - $159,000 bonus benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits. Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you d like more information on your EEO rights under the law, please click here . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Requirements

Must-haves

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.
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 with collaboration and prioritization across a broad organization.

Nice-to-haves

Familiarity with object-oriented programming in a language such as Python or Go.
Experience mentoring analysts and engineers in SQL optimization and data best practices.
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagilesqlpythongo

Platform: workday
Effort: long