Who We Are
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.
Description
As a member of the Precision Health Platform engineering organization, you will build modular, composable, and interoperable platform components, including storage and processing of precision health data, and other product framework components across Verily products.
Responsibilities
- Work closely with the development team to design, develop, and deliver new software features across the Verily tech stack.
- Come up with ideas to technical design problems, compare options, and propose solutions.
- Develop using industry-standard tools including GitHub, Google Cloud, Go, Docker, and Terraform to name a few.
Qualifications
Minimum Qualifications
- BA/BS degree in Computer Science, Electrical Engineering, or equivalent practical experience in software development.
- 3 years experience as a software developer in an industry setting.
- Ability to work independently and collaborate effectively.
- Expertise in building software and systems on any of: GCP, AWS or Azure (GCP preferred).
- Experience with one or more general purpose programming languages including but not limited to: Java, C/C++, C#, Objective-C, Go, Python, or JavaScript.
Preferred Qualifications
- Demonstrated experience with Go, Java, Python, and/or SQL.
- Proficiency in Apache Beam and its associated technologies for data ingestion and processing.
- Solid understanding of ETL principles and best practices.
- Experience with designing and implementing scalable data processing pipelines with Bioquery or other analytics-oriented databases.
- Education or exposure to healthcare or life sciences, with emphasis on HL7 FHIR.
