Senior Data Engineer

Summary

Join SentinelOne, a cutting-edge cybersecurity company, as a Senior Data Engineer. You will design, build, and maintain data infrastructure for cyber threat detection research, collaborating with data scientists and researchers. Leverage your expertise in data engineering, distributed systems, and cloud technologies (AWS preferred) to process petabytes of data daily. Contribute to innovative data solutions enhancing our threat detection capabilities. This role requires 4+ years of experience in data engineering and proficiency in Python, Java, Scala, or similar languages. Enjoy flexible hybrid work options and a competitive benefits package.

Requirements

• 4+ years of experience in data engineering, data architecture, and distributed systems
• Proficiency in programming languages such as Python (that we use), Java, Scala, or similar
• Experience with cloud-based technologies such as AWS (our primary), GCP or Azure
• Experience with deploying big data technologies such as Apache Spark, Hadoop, Hive, IceBerg or Trino
• Familiarity with data warehousing concepts and technologies
• Experience with data visualization tools such as Tableau, PowerBI, Grafana or similar
• Strong problem-solving skills, with the ability to develop innovative solutions to complex problems
• Excellent communication skills, with the ability to clearly present and explain complex data and models to technical and non-technical stakeholders
• BS or higher degree in Computer Science, Statistics, Mathematics, or related field
• Additional or directly relevant experience will be considered in lieu of a degree
• Experience in leading cross-functional projects between R&D and product teams

Responsibilities

• Design, build, and maintain the data infrastructure required for effective research for developing cyber threat detections in our products (incl. new AI-powered detections or detections in cloud environments)
• These infrastructures will be used by data scientists and cyber security researchers to make sense of petabytes of data
• Collaborate closely with cross-functional production teams across the entire company, including data scientists, cyber security researchers, product managers, and more
• Deliver innovative data solutions that will assist us in developing the best threat detection solution and protecting our customers

Preferred Qualifications

• Experience in and passion for cybersecurity
• Experience with MLOPs and working with data scientists

Benefits

• Grant of Restricted Stock Units with a 4-year vesting plan
• Annual performance-based bonuses
• An employee stock purchase plan
• Flexible Time Off
• On top of the standard 5 weeks vacation
• Flexible paid sick days
• Fully paid Short Term Sick/Nursing Leave
• 16-week parental leave
• Grandparent leave
• Additional company holidays
• Private medical care (for you and +1)
• Premium life insurance
• Pension contribution
• A Global Employee Assistance Program
• Monthly meal and well-being allowance
• High-end MacBook/Windows laptop
• Work-from-home support
• In-office refreshments
• LinkedIn Learning
• Internal mentoring
• Educational support
• Generous referral bonuses
• Optional company events (sports, BBQs, charity)