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Data Engineer II

Build scalable data pipelines to support precision health research initiatives
San Francisco Bay Area
Mid-Level
$92,000 – 131,000 USD / year
22 hours agoBe an early applicant
Verily

Verily

A life sciences research organization focused on using technology to better understand health and prevent, detect, and manage disease.

Verily Analytics Engineer

Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.

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.
  • 2+ years experience with data engineering or analytics engineering, including SQL and ETL.
  • 1+ years experience with the dbt (data build tool) library.

Preferred Qualifications

  • Experience supporting software in the health care field.
  • Exposure to object-oriented programming in a language such as Python or Go.
  • Familiarity with collaboration and prioritization across a broad organization.
  • Experience 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 $92,000 - $131,000 + 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.

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.

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Data Engineer II
San Francisco Bay Area
$92,000 – 131,000 USD / year
Engineering
About Verily
A life sciences research organization focused on using technology to better understand health and prevent, detect, and manage disease.