ABOUT OUR COMPANY
At Guardant Health our mission is to conquer cancer with data; as such software sits at the core of everything we do. While we’re best known for our molecular diagnostics, which unlock the genomic signatures of cancer, these tests are just the first step in the equation. Turning this genomic data into actionable insights shared with thousands of patients, physicians, and researchers in a scalable, reliable, and secure fashion is a software product challenge.
“We wanted flying cars and instead we got 140 characters” is a much-repeated complaint about Silicon Valley. But with all due respect to flying cars, we believe that our mission is even more critical. We’ve raised more than $500M from some of the leading venture firms in the world to work on this problem.
We are building a unique software stack to manage an ecosystem of microservices, RESTful APIs, and data integrations with internal and external systems to deliver useful and elegant user experiences in the extraordinarily complex oncology diagnostic and therapeutic landscape. We connect patients with clinical trials, help clinicians order our test and receive our clinical reports, and deliver valuable genomic datasets to researchers to help uncover important insights into treatment paradigms and drug discovery. Our technology stack reflects our views of using the best tools for the job, employing Java, Python, Ruby along with Kubernetes, Docker, Mule, MySQL, MongoDB, high-performance computing clusters (HPC), and a variety of AWS services to analyze and disseminate vast volumes of genomic data.
About the Role
The Data Engineering & Analytics team is seeking an experienced senior data engineer who has experience in building world class data processing and analytics platform. The team is responsible for anything and everything related to data across company with the mission to empower every business function (R&D, commercial, clinical etc.) to operate efficiently and make decision on curated and high quality data.
Great opportunity to build data engineering and analytics platform from scratch, contribute in tech stack decision making and work with interesting human genomics data in large scale while using the latest tools and technologies.
As a Senior Data Engineer, you will primarily drive
You love building complex, scalable, and highly available data products and manage how data brings life to many services and decision making process.
You enjoy an agile, fast paced and highly technical environment. You are comfortable with tackling a problem, driving a solution from inception to birth, leading cross-functional collaborations, and communicating technical and non-technical information across multiple functions and levels.
You are dedicated to engineering excellence yet pragmatic enough to balance quality principles, regulatory compliance and business needs.
In addition, you bring