What is a Data Engineer at Grail?
As a Data Engineer at Grail, you will be at the forefront of a life-saving mission: detecting cancer early when it can be cured. Grail relies on massive, complex biological and clinical datasets to power its pioneering multi-cancer early detection tests, such as Galleri. The data platform you build and maintain directly impacts the speed and accuracy with which clinical research is conducted and patient samples are processed. This is not a standard business intelligence or retail data pipeline role; it is a highly specialized engineering position where data integrity, scalability, and security can quite literally save lives.
You will work on designing, building, and optimizing pipelines that ingest, process, and store vast amounts of genomic, clinical, and operational data. The infrastructure you build supports bioinformatics scientists, clinical researchers, and machine learning engineers who analyze high-throughput sequencing data. Your work ensures that these cross-functional teams have reliable, low-latency access to clean data, enabling them to make critical scientific breakthroughs and clinical decisions.
This role requires a unique blend of robust software engineering principles, distributed systems expertise, and a deep appreciation for data governance. Whether you are optimizing large-scale Apache Spark jobs on AWS, orchestrating complex workflows, or modeling complex clinical trial data, your contributions will directly influence Grail's ability to scale its diagnostics platform globally.

