Senior Big Data Engineer - Security Research / Detection
Build and operate petabyte-scale data pipelines and cloud data infrastructure (AWS, Spark, Trino) that power SentinelOne's AI-driven cyber threat detection research, partnering with data scientists and security researchers. Core stack includes Python, Java/Scala, and big data tools like Hadoop, Hive, and Iceberg.
- Compensation
- Not disclosed
- Location
- Czech Republic
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years of experience in data engineering, data architecture, and distributed systems
- Proficiency in programming languages such as Python, Java, Scala, or similar
- Experience with cloud-based technologies such as AWS, GCP or Azure
- Experience deploying big data technologies such as Apache Spark, Hadoop, Hive, Iceberg, 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 ability to develop innovative solutions to complex problems
- Excellent communication skills, able to present complex data to technical and non-technical stakeholders
- BS or higher degree in Computer Science, Statistics, Mathematics, or related field (relevant experience considered in lieu of degree)
- Experience leading cross-functional projects between R&D and product teams
Full description
Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Data Engineer, you will play a vital role in designing, building, and maintaining the data infrastructure that powers our cyber threat detection research (core and critical part of our product). This infrastructure will enable data scientists and security researchers to make sense of petabytes of data and uncover the threats that matter. You will collaborate closely with cross-functional teams across the company - data scientists, security researchers, product managers, and engineers - to deliver innovative data solutions that help us build best-in-class threat detection and protect our customers.
What will you do?
Primary responsibilities include:
- Design, build, and maintain scalable data pipelines that process petabytes of security data (we ingest 5-10 petabytes daily) for research purposes.
- Develop production-grade pipelines, applying software engineering best practices.
- Operate big data infrastructure and cloud data warehouses with a focus on reliability and performance.
- Partner with data scientists and security researchers to deliver impactful data solutions.