San Francisco, CA, US
7 hours ago
Data Engineer II, Amazon Health Science & Analytics
Want to channel the power of data to be a part of something big, having an impact our customers' and members' health and well being? Come join a dynamic, data-centric organization as we chart a course to greater self-service and empowerment of business, clinical, and technology leaders at One Medical!

You will be responsible for designing and building reliable & performant data
models and pipelines to provide actionable insights and accommodate needs from our
cross-functional partners and distributed analysts across the organization.

You are someone that enjoys exploring data to identify large areas of opportunity to drive
business impact, are able to ask the right questions to accurately analyze situations and can
acquire data from multiple and diverse sources when solving problems. Not only that, you are
also able to make sense of complex, high-quantity, and sometimes contradictory information to
solve these problems through structured thinking and have shown the ability to drive results in
accomplishing objectives despite obstacles and setbacks. You thrive at effective communication
in a variety of settings, whether it’s one-on-one, small and large groups, or among diverse styles
and position levels.

#everydaybetter

Key job responsibilities
- Partner with folks across the company on developing flexible and scalable analytics to
drive insights and decision making by internal customers
- Design and build reliable, performant and high quality data models and pipelines to
provide actionable insights and accommodate needs for our cross-functional teams
- Build out suites of standard KPIs/metrics
- Work with the team to define how we model and warehouse data that is accessed by
most teams and analysts across the company
- Engage in code reviews to ensure code committed is collectively maintainable by the
team
- Build proper data quality detection tools to identify data issues in the data transformation
stages and fix the problems to meet pipelines / table health SLAs
- Ensure all critical systems within team’s domain have appropriate and up to date
documentation
- Participate in our scheduled support rotation, where you’ll be responsible for maintaining
and troubleshooting pipelines and providing assistance to data analysts
- Champion the practice of making data-informed decisions by ensuring internal
stakeholders such as the product management, operations, marketing, clinical
effectiveness, finance and executive teams are making data driven decisions quickly and
with confidence.
- Build and improve data tooling in partnership with data engineering and platform teams
Confirm your E-mail: Send Email