Sentinelone

Overview

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.

About Sentinelone

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.

Requirements & Eligibility

• 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.
• Hands-on experience with cloud-based data stack - such as GCP and BigQuery (preferred) or comparable alternative in AWS ecosystem.
• Experience with workflow orchestration tools such as Kestra, Airflow, dbt Cloud, or similar.
• Deep understanding of dimensional modeling.

Key Responsibilities

• Build, maintain, and troubleshoot production-grade data pipelines across source systems, cloud data platforms, and business-facing data products.
• Support and improve critical data workflows using BigQuery, GCP, Kestra, Nexla, DataHub, Looker, Tableau, and Workato.
• Improve data quality, observability, freshness monitoring, schema validation, reconciliation, alerting, and operational reliability.
• 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, and metric definitions.
• Partner with Analytics, BI, Product, Finance, GTM, IT, Security, and Engineering stakeholders.
• Leverage AI tools responsibly to increase engineering productivity.