Senior Data Engineer

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra Platform captures packets and logs across network, public cloud, SaaS, and identity by applying patented security-led AI to surface and prioritize threats for rapid threat response. Vectra's threat detections are powered by a deep understanding of attacker methods and problem-optimized AI algorithms. Alerts uncover attacker methods in action and are correlated across customer environments to expose real attacks. Organizations around the world rely on Vectra to see and stop threats before a breach occurs. For more information, visit www.vectra.ai.

Position Overview 

Detecting attackers in real-time requires a high-performance technology stack that enables machine learning and statistical techniques. This requires the management of considerable volumes of data. We are looking for an innovative and resourceful data engineer to join our growing team. Our data science and analytical capabilities rely on the fast, efficient flow of large volumes of data. Working in concert with our existing Data Engineering/Data Science teams you will assist in optimizing these flows as well as building out new data pipelines to support our growing product portfolio. 

Responsibilities  

• Create, test and maintain optimal data pipeline architectures 
• Identify and develop data set processes for data modeling, minding, and production 
• Build the infrastructure required for optimal extraction, transformation, and loading of large data sets 
• Spark fresh ideas that are infused in our culture and our products 
• Leverage emerging tech and Big Data to ensure delivery of real time analytics solutions 
• Work on complex, large-scale, group-wide big data projects 
• Perform analysis tasks required to troubleshoot data-related issues and present optimised solutions. 
• Interface with other groups including Product Management, UX, Security Research and Data Science to help customers simplify security 

Qualifications

Required

• 6+ years in software development, data engineering, or equivalent 
• Knowledge of software design principles and leading software development practices 
• Strong communication & collaboration skills 
• Willingness to get things done, learn new things, take initiative and challenge existing assumptions and conventions 
• Experience building and deploying to any cloud service (AWS, Azure, GCP, etc.) 

Preferred

• Production experience with various distributed processing technologies (e.g. Kubernetes, Kafka, Spark, etc.) 
• Comfort in dealing with low level data storage formats (e.g. Parquet, Avro, Arrow, etc.) 
• Experience programming in any of the following (python, golang, scala) 
• Experience with infrastructure as code (Terraform), automated testing, and CI/CD
• Knowledge of the following tools (or similar): Git, Jira
• Experience working with a geographically dispersed team 
• Experience with grooming business-stakeholder requirements into achievable technical goals 
• Ability to work in a collaborative environment

Education

• B.S or M.S or Ph.D. in Computer Science (or equivalent experience) 

 A two-minute video that describes what we do at Vectra, and an article about Vectra's last funding round:

https://vimeo.com/89579264

https://tcrn.ch/3gVAXNw