Data Engineer

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.