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!

What are we looking for?

We are seeking a Staff Data Engineer who is passionate about data engineering and AI. 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 5-10 petabytes of data daily) for research purposes.

What will you do?

As a Staff Data Engineer at SentinelOne, you will play a vital role in designing, building, and maintaining 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.
You'll collaborate closely with cross-functional production teams across the entire company, including data scientists, cyber security researchers, product managers, and more.
You will deliver innovative data solutions that will assist us in developing the best threat detection solution and protecting our customers.

What experience and knowledge you should bring?

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

A huge plus would be

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

Why us?

You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be joining a cutting-edge project and will be able to influence the architecture, design, and structure of our core platform. You will tackle extraordinary challenges and work with the very BEST in the industry.

On top of that we offer you

Flexible working hours, In Prague & nearby we're working in a hybrid model with offices in Karlin (brand new Missouri Park), remotely in the rest of CZ or SK, with optional Brno offices (Clubco Vlněna) for those who like to meet
Generous employee stock plan in the form of RSUs (restricted stock units) not options; 4 years vesting with 1-year cliff and then quarterly
Yearly bonus depending on the performance of the company, paid out in 2 installments
Flexible Time Off (on top of the standard 5 weeks of vacation)
Flexible Paid Sick Days
Fully Paid Short Term Sick/Short Term Nursing Leave
Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
Pension insurance contribution
Premium Life Insurance covered by S1
Monthly Meal & Wellbeing Allowance
Private medical care membership for you and your +1
Global Employee Assistance Program (confidential counseling related to both personal and work life matters), Wellness Coach:Mind Body Sleep app company access (sessions, audiobooks, classes, private coaching etc.)
High-end MacBook or Windows laptop, Home-office-setup gear & on top of that additional WFH Allowance
Udemy Business platform for Hard/Soft skills Training, internal mentoring 'MentorOne' & Support for your further educational activities/trainings
Above-standard referral bonus
On top of RSUs, you can benefit also from our attractive ESPP (employee stock purchase plan)
Refreshments and snacks at the offices
Optional company events for those who like to meet outside of work too (sport, BBQ, charity etc.)
DEI&B programs that promote employee resource groups like SentinelWIN (Women Inclusion Network), Blk@S1, Latinos@S1, Pan-Asian@S1, Out@S1 (LGBTQIA+) and Sentinels Who Served

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

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Staff Data Engineer - Security Research / Detection

What are we looking for?

What will you do?

What experience and knowledge you should bring?

Why us?

Apply for this Job