Staff Software Engineer - Data Engineering

$124,000 - $201,500/Yr

Palo Alto Networks - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Professional, Scientific, and Technical Services

About the position

The Staff Software Engineer - Data Engineering at Palo Alto Networks is responsible for designing, coding, and integrating scalable datasets to create certified datasets as enterprise-grade assets. This role is pivotal in building the future of AI and Analytics data foundations, contributing to the company's growth by delivering real-time data and insights through innovative methods. The position emphasizes collaboration, execution, and driving business value through data engineering practices.

Responsibilities

• Design and implement scalable datasets for enterprise-grade assets.
• Translate business problems into data requirements and deliver actionable insights.
• Deliver real-time data and insights to executives using innovative methods.
• Engage with cross-functional teams to foster collaboration and shared success.
• Create data models that prioritize simplicity and usability for scalability.
• Develop certified and scalable data models that provide high business value.
• Conduct in-depth data analysis to uncover actionable insights.
• Manage data governance, quality, and metadata management processes.
• Tackle complex data engineering and design challenges collaboratively.
• Stay agile and adopt new data engineering technologies and methodologies.

Requirements

• 10+ years of experience in the data and analytics domain.
• Expert level in writing optimized SQL code.
• Advanced proficiency in Python for GCP DataProc integrations.
• Familiarity with B2B space and customer analytics, including data models for contracts, subscriptions, and GDPR processes.
• Experience in building ETL processes using BigQuery data.
• Familiarity with GCP services and deployments.
• Experience managing code using GitHub (CI/CD).
• Ability to execute in agile (scrum) development methodology.
• Working knowledge of Tableau (preferred).
• Strong interpersonal and teamwork skills.

Nice-to-haves

• Experience in customer analytics domain.
• Familiarity with data governance and information management.

Benefits

• FLEXBenefits wellbeing spending account with over 1,000 eligible items.
• Mental and financial health resources.
• Personalized learning opportunities.
• Restricted stock units and bonuses.