Senior Data Engineer

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🕒 August 7

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Cortex by Palo Alto Networks

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2005

🔒 Cybersecurity

🤖 Artificial Intelligence

Cybersecurity • Artificial Intelligence • Software

Cortex by Palo Alto Networks is an AI-powered cybersecurity platform designed to enhance real-time security operations across the enterprise and cloud environments. It provides a comprehensive suite of solutions including threat detection, incident response, and security automation to protect organizations from sophisticated cyber threats and streamline security management. The platform emphasizes proactive security measures and integrates seamlessly with various systems, supporting businesses in managing their cybersecurity posture effectively.

📋 Description

• Own data pipelines end to end - ingestion, transformation (dbt), warehousing (BigQuery), and delivery into reporting and BI (Omni) • Audit and map the existing data systems before rebuilding, then consolidate the stack toward a single source of truth • Build and maintain dbt models and transformation logic with tests, documentation, and clear contracts • Establish data quality, observability, and reliability practices so pipelines are maintained intentionally rather than reactively • Own product analytics: instrumentation and event tracking, data models for usage and adoption, and the metrics GTM and product teams rely on • Partner with GTM operations to consolidate reporting into a single tool and ensure the right data foundations for AI automation and tools • Support research for external reports by partnering with marketing to source, validate, and pull the right data • Lay the groundwork for high-volume and streaming ingestion, such as telemetry/OpenTelemetry

🎯 Requirements

• Bachelor's degree in Computer Science or related field, or equivalent practical experience • 4+ years of hands-on data engineering experience building and owning production pipelines • Proficiency with dbt, a cloud data warehouse (BigQuery or equivalent), and ETL/ELT tooling • Strong SQL and proficiency in a general-purpose language such as Python for pipeline and transformation work • Solid data modeling judgment with a focus on data quality, testing, and reliability • Bias toward mapping and rationalizing a messy environment before adding to it • Strong communication and collaboration skills, including with non-engineering stakeholders • Fluent, critical use of AI in day-to-day engineering, reviewing AI output as carefully as a teammate's PR • Experience with high-volume/streaming systems such as ClickHouse or OpenTelemetry, or CDP/ETL tools such as Segment or Hevo, is a plus • Previous startup experience is a plus

🏖️ Benefits

• Competitive Equity Package • National medical, dental & vision insurance (we cover 100% for employees!) • Unlimited PTO & flexible working hours • 401k plan • Gender-neutral parental leave • $1000 yearly Learning & Development stipend • $400 monthly perks stipend (use it on anything) • Pet Insurance