Staff Data Engineer

About Us:

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.

We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you're enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team

We are seeking a Staff Data Engineer who is passionate about data engineering and Cyber Security. We need someone who can contribute to the development and implementation of robust data solutions and enhance our data capabilities for cyber security research. The ideal candidate has a strong background in data engineering, building distributed systems over a cloud environment and is comfortable working with large-scale datasets (our cybersecurity platform ingest 9 petabytes of data daily) for research purposes.

• As a Staff Data Engineer on our team, you will play a vital role in designing, building, and maintaining the data infrastructure required for parsing, mapping and ingestion of OCSF Data
• Collaborating closely with cross-functional teams across the entire company, including data scientists, cyber security researchers, product managers, and more.
• Assist in the adoption and extending of OCSF as well as promotion to the OCSF community
• You will deliver innovative data solutions that will assist us to keep developing the best threat detection solution and protecting our customers.

What skills and knowledge should you bring?

• 6+ years of experience in data engineering, data architecture, and distributed systems
• Proficiency in programming languages such as Java, Python, 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

A plus would be

• Experience in and passion for cybersecurity
• Experience with building and owning Data Governance processes

Join a cutting-edge company tackling extraordinary challenges alongside top industry talent. Enjoy flexible hybrid work in Prague (Karlin), Brno (Clubco), or remotely across CZ/SK.

Competitive Benefits Package:

• Stock & Bonuses: Grant of Restricted Stock Units with a 4-year vesting plan, annual performance-based bonuses, and an employee stock purchase plan.
• Time Off & Well-being: 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, and additional company holidays.
• Health & Insurance: Private medical care (for you and +1), premium life insurance, pension contribution, and a Global Employee Assistance Program.
• Work Perks: Monthly meal and well-being allowance, high-end MacBook/Windows laptop, work-from-home support, and in-office refreshments.
• Growth & Community: LinkedIn Learning, internal mentoring, educational support, generous referral bonuses, and optional company events (sports, BBQs, charity).

Be part of an inclusive, innovative workplace that values belonging, flexibility, and growth