Principal IT Data Engineer - Data & Analytics

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$167,000–$270,500 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k
This role $219k
$125k most similar roles pay here $286k

This role pays more than 76% of similar roles. Most pay $140,250–$217,725 — the shaded band above. At the midpoint, this role pays about $219k versus about $179k 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 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Principal IT Data Engineer - Data & Analytics

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The Principal IT Data Engineer role within the Data & Analytics team at Palo Alto Networks requires extensive experience in data engineering and cloud technologies to solve complex business problems. This senior-level position involves architecting and maintaining scalable data pipelines using ETL processes, optimizing existing solutions for performance and reliability, and implementing data governance practices. The ideal candidate will work closely with cross-functional teams to develop dashboards and reports that provide actionable insights, mentor junior engineers, and integrate emerging technologies such as AI/ML frameworks into the organization’s infrastructure. Key skills include expertise in SQL, Apache Spark, Apache Airflow, GCP services like BigQuery and Cloud Composer, and a readiness to leverage GenAI tools for enhanced efficiency. The role demands hands-on experience with cloud platforms and BI visualization tools, making it ideal for someone passionate about driving innovation and improving business outcomes at scale.

Skills

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

What you'll do

  • Design and maintain scalable data pipelines for ETL processes.
  • Optimize existing data pipelines for performance, reliability, and scalability.
  • Implement data quality and governance processes to ensure compliance.
  • Develop dashboards and reports with the BI team for actionable insights.
  • Mentor junior engineers on best practices in data engineering and BI development.
  • Identify and integrate emerging technologies to guide teams towards innovation.

What we're looking for

  • 12+ years of experience in data engineering with a focus on building and maintaining data pipelines.
  • Expertise in SQL programming and database management systems, including hands-on experience with ETL tools like Apache Spark and Airflow.
  • Proficiency in cloud platforms (preferably GCP) and services such as Dataflow, DataProc, BigQuery, and Cloud Composer.
  • Demonstrated ability to integrate AI/ML technologies into data engineering processes.
  • Experience in designing and developing dashboards, reports, and analytical tools using BI visualization platforms.

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