Staff Data Engineer

Working from home
Mar 16, 2021
Required Education
Bachelors Degree
Position Type
Full time
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

As a Staff Data Engineer in IT, you'll work collaboratively with stakeholders across GRAIL to understand the enterprise-wide needs for data collection, analysis, reporting and application. We'll look to you to drive delivery of an enterprise wide data analytics stack including a data warehouse/data lake strategy for data aggregation, ETL and an overall platform stack, resulting in delivery of key insights and optimizations to our most important enterprise workflows. We are looking for someone who can think strategically but is also hands on with a proven track record building a data ecosystem that delivers compelling business value in a rapidly growing environment.

You Will:

• Engage with key stakeholders across the enterprise to understand the most compelling business needs for GRAIL's data analytics platform.
• Define an analytics roadmap for the delivery of key capabilities and the enabling technology stack and processes to support them.
• Work collaboratively to build out that roadmap in 2021 as GRAIL scales commercially.

Your Background Should Include:

• Typically a minimum of 5+ years of directly related data engineering experience with a Bachelor's degree or Master's degree (preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field or equivalent experience
• Demonstrated positive collaboration skills with key stakeholders and system users to deliver robust systems and compelling results.
• Experience building and optimizing enterprise data repos (data warehouse, data lake) and the tool stack around them.
• Strong project management and organizational skills.
• Preferred experience with AWS (e.g. Athena, Redshift, Quicksight, Lake Formation, AWS Glue, S3), Snowflake, Tableau, Denodo.
• Preferred Life sciences / Biotech sector experience in a regulated environment GxP, FDA, ISO 13485, etc.

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 .