Staff Cloud/Big Data Engineer

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.

What if we could detect cancer early before symptoms begin? GRAIL's Technology organization is looking to hire an experienced, staff-level Cloud Data Engineer. This role will focus on data integration and the development of a cloud-based analytics solution to help enable insight into commercial operations. This will enable various business teams to perform troubleshooting, KPI reporting, and predictive modeling / statistical process control.

Functional Duties:

• Act as a member of a highly collaborative, interdisciplinary, high trust team that is building GRAIL's data infrastructure to help support its commercial products.
• Drive the design, prototype, implementation, and scale of cloud data platforms to seek the business needs of GRAIL commercial products.
• Develop stream processing pipelines to help support our rapidly scaling clinical blood testing lab.
• Develop batch processing pipelines that enable the scaling of ETL processes for the study data that backs GRAIL's machine learning classifier development.
• Build metadata services that enable search, discovery, and access control for GRAIL's data infrastructure.

Required skills:

• BS/MS/Ph.D. in a quantitative scientific field (computer science, engineering, mathematics, etc.) with 8 - 15 years of experience.
• Experience with architecting and designing scalable cloud-based data warehouses and data lakes on AWS.
• Advanced knowledge in data warehousing architecture and concepts (ETL and ELT) and data modeling.
• Experience with relational databases, query authoring, and performance tuning.
• Experience with data pipelining and workflow engines, like Apache Airflow, Spark, Beam.
• Strong programming experience in multiple languages, like Golang, Python, Java.
• Experience with numerous aspects of DevOps, including source control, CI/CD, and containerized deployment.
• Experience working with business teams on complex problems and translating them into efficient, scalable, and easy to maintain data engineering solutions.
• Excellent interpersonal communication (written and verbal) and interpersonal skills.
• Excellent teammate with a demonstrated track record of success in a multi-functional team environment.
• Consistent dedication to delivering on team goals with a sense of shared urgency.

Preferred skills:

• Experience with Amazon Redshift, Athena, Glue, Lake Formation!
• Experience with Terraform!
• Experience building microservices and web applications

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

GRAIL, Inc. and its affiliates and subsidiaries ("GRAIL") does not accept any liability for fees for resumes from recruiters or employment agencies ("Agency"), without a binding, written recruitment agreement between GRAIL and Agency describing the services and specific job openings ("Agreement"). GRAIL may consider any candidate for whom an Agency has submitted an unsolicited resume and explicitly reserves the right to hire those candidate(s) without any financial obligation to the Agency, unless an Agreement is in place. Any email or verbal contacts with any person within GRAIL is inadequate to create a binding agreement. Agencies without an Agreement are requested not to contact any hiring managers of GRAIL with recruiting inquiries or resumes. Agencies interested in partnering with GRAIL may contact GRAIL's HR Department through our Customer Service team .