Senior IT Data Engineer

Company Description

Our Mission

At Palo Alto Networks everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution.

From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEX Benefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Your Career

Our Data & Analytics group is responsible for working with various business owners/stakeholders from Sales, Marketing, People, GCS, Infosec, Operations, and Finance to solve complex business problems which will have a direct impact on the metrics defined to showcase the progress of Palo Alto Networks. We leverage the latest technologies from the Cloud & Big Data ecosystem to improve business outcomes and create through prototyping, Proof-of-Concept projects and application development.

We are looking for a Senior Staff IT Data Engineer with extensive experience in Data engineering, SQL, Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data transformations and analytical solutions that support our business objectives. This role requires a strong understanding of data engineering principles, as well as the ability to collaborate with cross-functional teams to deliver high-quality data solutions.

This is an in office role in our HQ (Santa Clara, CA)

Your Impact

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake environment
• Aptitude for proactively identifying and implementing GenAI-driven solutions to achieve measurable improvements in the reliability and performance of data pipelines or to optimize key processes like data quality validation and root cause analysis for data issues, is a nice-to-have
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
• Optimize and tune existing data pipelines for performance, reliability, and scalability
• Implement data quality and governance processes to ensure data accuracy, consistency, and compliance with regulatory standards
• Work closely with the BI team to design and develop dashboards, reports, and analytical tools that provide actionable insights to stakeholders
• Mentor junior members of the team and provide guidance on best practices for data engineering and BI development

Qualifications

Your Experience

• Bachelor's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines and analytical solutions
• Demonstrated…