Principal IT Data Engineer - Data & Analytics

Palo Alto Networks

Actively hiring Posted today Verified listing
Santa Clara, CA Posted 1 day ago $167,000–$270,500 / year
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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $219k
$114k most similar roles pay here $287k

This role pays more than 81% of similar roles. Most pay $130,750–$212,000 — the shaded band above. At the midpoint, this role pays about $219k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR

The Principal IT Data Engineer role within the Data & Analytics team at Palo Alto Networks is a senior-level position requiring extensive experience in data engineering and cloud technologies. This individual will architect, design, implement, and maintain scalable data transformations and analytical solutions to support business objectives. Day-to-day responsibilities include developing ETL pipelines using tools like Apache Spark and Airflow, optimizing existing data processes for performance and reliability, and collaborating with stakeholders to translate business needs into technical solutions. The ideal candidate should have expertise in SQL, cloud platforms such as GCP, and AI/ML integration, while also mentoring junior team members and driving innovative best practices that ensure systems remain adaptable and future-ready.

Skills

SQL Apache Spark Apache Airflow GCP Dataflow DataProc BigQuery Cloud Composer Python GenAI Tableau Kafka Scala

What you'll do

  • Design and maintain data pipelines for ETL processes in the cloud environment.
  • Optimize existing data pipelines to enhance performance, reliability, and scalability.
  • Implement data quality and governance processes to ensure regulatory compliance.
  • Develop dashboards and reports with BI tools to provide actionable insights.
  • Mentor junior team members on best practices for data engineering and BI development.
  • Identify and integrate emerging technologies to guide teams in adopting innovative practices.

What we're looking for

  • Minimum 12 years of data engineering experience or 8 years with a Master’s degree.
  • Expertise in SQL programming and database management systems.
  • Hands-on experience with ETL tools like Apache Spark and Apache Airflow.
  • Experience with cloud platforms (preferably GCP) including Dataflow, BigQuery, Cloud Composer.
  • Demonstrated ability to leverage AI/GenAI tools in the data engineering lifecycle.
  • Implement data quality processes and collaborate on BI tool development.
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