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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 Staff Data Engineer, you will be tasked with building, scaling, and modernizing our enterprise data platform across modern data engineering, analytics enablement, governance, and AI-ready data foundations. In this role, you will own and improve the trusted data foundation supporting executive reporting, analytics, revenue operations, product insights, customer reporting, finance, GTM, and operational workflows across the company. You will partner across technical and business teams, and have the opportunity to shape how data engineering scales in an AI-enabled enterprise environment at petabytes scale - a high-impact role offering meaningful platform ownership and broad business visibility. What Will You Do? Primary responsibilities include: Build, maintain, and troubleshoot production-grade data pipelines across source systems, cloud data platforms, and business-facing data products, where you'll deal with datasets at petabytes scale. Support and improve critical data workflows using BigQuery, GCP, Kestra, Nexla, DataHub, Looker, Tableau, and Workato across Salesforce, billing, ARR, customer data, and finance domains. Improve data quality, observability, freshness monitoring, schema validation, reconciliation, alerting, and operational reliability for critical datasets. Participate in production support for business-critical data workflows, including incident response, root-cause analysis, and runbook development. Strengthen data governance and discoverability through metadata management, lineage, ownership, certification, metric definitions etc. Partner with Analytics, BI, Product, Finance, GTM, IT, Security, and Engineering stakeholders to deliver trusted datasets, AI-ready data foundations, and scalable data solutions. Leverage AI tools responsibly to increase engineering productivity, including SQL support, Python development, debugging, testing, and operational analysis. What Skills and Knowledge Will You Bring? Ideal candidates will have: Advanced SQL and Python proficiency for building, optimizing, troubleshooting, automating, and testing data pipelines across large datasets. Proven experience building and supporting batch or near-real-time ingestion pipelines using tools such as Nexla, Workato, Fivetran, APIs, or custom pipelines. Must-have: hands-on experience with cloud-based data stack - such as GCP and BigQuery (preferred) or comparable alternative in AWS ecosystem (and its services like Redshift, Athena etc.); including production dataset management, performance tuning, IAM, service accounts, and dev/prod environment separation. Experience with workflow orchestration tools such as Kestra, Airflow, dbt Cloud, or similar, including scheduling, dependencies, retries, and failure handling. Deep understanding of dimensional modeling (facts/dimensions, SCDs) and data quality/reliability practices (reconciliation, schema validation, freshness monitoring, runbooks). Familiarity with metadata management, lineage, data catalogs, semantic layers, and engineering best practices (Git, CI/CD, testing, code reviews). Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards Restricted Stock Units (RSUs) Employee Stock Purchase Plan (ESPP) Performance-based bonus Time Off & Wellbeing Flexible time off, on top of the standard 5 weeks PTO Paid company wellness days and fully paid short-term sick/nursing leave Gender-neutral parental leave Insurance & Financial Security Private medical care benefit Life and disability insurance Pension Insurance contribution Global business travel medical insurance Employee Assistance Program (EAP) Work Perks & Flexibility Global home office allowance Meal allowance Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employees are required to work from the office at least 2 days//week. Wellness & Lifestyle Wellbeing allowance MultiSport benefit program Wellness Coach app 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.