Principal IT Data Engineer, Finance

Palo Alto Networks

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$167,000–$270,500 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $219k
$139k most similar roles pay here $285k

This role pays more than 77% of similar roles. Most pay $173,263–$216,300 — the shaded band above. At the midpoint, this role pays about $219k versus about $195k 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 34 open roles on FindRole.

Listed pay typically runs $159,000–$257,750 across 32 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Principal IT Data Engineer, Finance

Principal IT Data Engineer- Finance joins the Data & Analytics group to support the business objectives of the Finance and Legal teams. This individual is responsible for architecting, designing, and maintaining scalable data transformations and analytical solutions while building ETL pipelines to move data into warehouse or lake environments. The role involves collaborating with stakeholders to translate requirements into technical solutions, optimizing pipeline performance, and implementing data quality and governance processes. Key technologies include SQL, Apache Spark, Apache Airflow, and GCP services such as Dataflow, DataProc, BigQuery, and Cloud Composer. Candidates must have experience with SAP and SFDC data objects, Python or Scala scripting, and Tableau. The role also involves integrating GenAI tools to improve pipeline reliability and automating documentation within the data engineering lifecycle for complex financial and legal data domains.

What you'll do

  • Design, develop, and maintain ETL pipelines to move data from various sources into the warehouse or lake.
  • Translate Finance and Legal business requirements into technical solutions and scalable data architectures.
  • Optimize existing data pipelines and transformations for improved performance, reliability, and scalability.
  • Implement data quality and governance processes to ensure accuracy and regulatory compliance.
  • Partner with the BI team to develop dashboards and analytical tools that provide actionable insights.
  • Integrate GenAI-driven solutions to improve pipeline reliability and automate manual data engineering tasks.
  • Mentor junior team members on best practices for data engineering and business intelligence development.
  • Act as a technical advisor by identifying and integrating emerging technologies like AI/ML and cloud-native platforms.

What we're looking for

  • Bachelor’s degree and at least 12 years of related experience with functional knowledge of Finance, Operations, and/or Legal business domains.
  • At least 5 years of experience in data engineering focusing on building and maintaining data pipelines and analytical solutions.
  • Expertise in SQL programming and database management systems.
  • Hands-on experience with SAP Data Objects and SFDC Data Objects.
  • Experience with ETL tools and technologies such as Apache Spark and Apache Airflow.
  • Experience with cloud platforms (preferably GCP) and services like Dataflow, DataProc, BigQuery, and Cloud Composer.
  • Mandatory experience in AI tools and a strong understanding of implementing AI in the development lifecycle.
  • Proficiency in Python or Scala, experience with Kafka, and experience with Tableau (preferred).

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