VisibleRisk is a Bitsight company, aiming to redefine Cyber Risk Quantification (CRQ) and Global Cyber Rating. Backed by Moody’s and Team8, this venture focuses on developing an innovative methodology and technology for measuring cyber risk through the collection and analysis of cyber telemetry. VisibleRisk equips business leaders to manage cyber risk as clearly as they manage financial risk.
We are looking for a Data Engineer to work on our massive data processing pipeline to help us deliver more insights into our cyber risk model. If you’re a team player, passionate about working with cyber data, have proven experience as a Data Engineer and you have the ability to quickly learn new technologies – then we’re the right place for you!
In this role, you will be tasked with designing, implementing, improving, and maintaining large-scale ETL processes to feed our cyber risk model and research teams. You will model new data sets to support new product initiatives. We believe in our people’s abilities to deliver end-to-end solutions.
Design, architect and build our data architecture from the ground up
Develop tailormade solutions as part of the data pipelines
Manage large scale distributed systems
Utilize a combination of cloud based and open source tools and frameworks to solve our most complex data problems
Creating complex ETLS using Python and SQL/NoSQL
4+ years of experience as a Data Engineer
3+ years of experience with Python
Experience in data modeling
Full working Proficiency with open source ML frameworks such as Scikit-learn, TensorFlow, PyTorch
Experience with data pipeline and workflow management tools such as Airflow.
Experience with cloud platforms (GCP, AWS, Azure), working on production payloads of large scale and complexity.
Experience with Docker
Bachelor’s degree in Computer Science, Engineering or equivalent practical experience