Participate in the design and buildout of petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics toolingBuild data modeling, automation, and ELT workflows to produce Raw, Rationalized, co-Related, and Reporting data flows for graph, timeseries, structured, and semi-structured cybersecurity dataEducation QualificationsMinimum QualificationsB.S., or M.S. in Computer Science or equivalent work experience5 years of experience building large scale distributed systems and data analytics processes on cloud native, in-memory, and fit-for-purpose hybrid infrastructure. AWS, GCP, Azure), and deep experience working with big data processing infrastructures and ELT orchestrationExperience developing distributed batch and real-time feature stores, and developing coordinated batch, streaming and online model execution workflows, building and optimizing large scale data processing jobs in Spark, GraphXGraphFrames, Spark Structured Streaming, as well as scaling graph and time-series native operations.