Data Quality Engineer

The Data Quality Engineer is a problem solver with a background working in data integrity and testing to ensure high quality data and metadata is distributed to the cancer research community. This is an opportunity to elevate your career working with one of the world's largest collections of harmonized cancer genomic data. This role focuses on the Genomic Data Commons, which is at the forefront of both cutting edge research and production systems supporting cancer research. Your role will be as an engineer for data quality and integrity, joining a team of engineers developing innovative technologies in the pursuit of discovery through data-driven cancer research. You will focus on data quality efforts related to data integration, higher level data products, and distribution to the cancer research community, working across multiple teams to build and automate frameworks such as anomaly detection, reporting, and alerting to ensure data quality. You will gain expertise not only in the data itself, but the systems as well to interrogate the data and understand gaps in data quality. Data and metadata quality has a broad scope, so you are expected work collaboratively across teams to determine priorities and best methods for achieving objectives. Additionally, support for end users will be required through user communications and documentation.