Senior Staff IT Data Engineer

Our Mission

At Palo Alto Networks , we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

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 readiness to leverage GenAI tools to enhance efficiency within the typical stages of the data engineering lifecycle, for example by generating complex SQL queries, creating initial Python/Spark script structures, or auto-generating pipeline documentation, is a nice-to-have

Expertise in SQL programming and database management systems

Hands-on experience with ETL tools and technologies (e.g. Apache Spark, Apache Airflow)

Familiarity with cloud platforms such as Google Cloud Platform (Google Cloud Platform), and experience with relevant services (e.g. Google Cloud Platform Dataflow, Google Cloud Platform DataProc, Biq Query, Procedures, Cloud Composer etc).

Experience with Big data tools like Spark, Kafka, etc

Experience with object-oriented/object function scripting languages: Python/Scala, etc

Experience working SFDC Data Objects (Opportunity, Quote, Accounts, Subscriptions, Entitlements) would be highly desired

Experience with BI tools and visualization platforms (e.g. Tableau) is a plus

Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$145,000.00 - $235,500.00/yr

Our Commitment

We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.