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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal IT Data Engineer- Finance - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $167,000.0 - $270,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Business Intelligence Development, Big Data, BigQuery, Cloud Computing, Cloud Engineering, Cyber Security, Databases, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Data Flow Control, Python (Programming Language), Object-Oriented Software Development, Cloudera, Salesforce.Com, SAP NetWeaver Data Management, Software Engineering, SQL Databases, Systems Integration, Tableau (Software), Freeform SQL, Cloud Platform System, Apache Spark, Generative AI, Data Lakes, Palo Alto Networks, Data Analytics, Apache Kafka, Data Management, Data Objects, Data Pipelines - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ad079c183f3fbc22 ## About the Role * Minimum of 12 years of related experience with a Bachelor's degree with Experience with and functional knowledge of Finance, Operations and/or Legal business domains * Strong 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines and analytical solutions. * Expertise in SQL programming and database management systems. * Hands-on with SAP Data Objects (e.g., Sales Order, Revenue Recognition, Product Master) and SFDC Data Objects (e.g., Opportunity, Quote, Accounts) * Hands-on 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. * Experience in AI Tools and good understanding of implementing AI in development lifecycle is mandatory * 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., * Experience with Big Data tools like Kafka. * Proficiency in object-oriented or object-functional scripting languages such as Python or Scala. * Experience with BI visualization platforms like Tableau. * Aptitude for leveraging GenAI tools to enhance efficiency in the data engineering lifecycle. ## Description 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 Principal IT Data Engineer with extensive experience in Data engineering, SQL, Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for architecting, designing, implementing, and maintaining scalable data transformations and analytical solutions that support our Finance and Legal team's 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., * 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. * Partner and Collaborate with Finance and Legal stakeholders to gather requirements and translate business needs into technical solutions. * Optimize and tune existing data pipelines and transformations 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. * Drive new and improved processes to increase engineer productivity. * Good to have a trusted technical advisor / thought leader, identifying and integrating emerging technologies (e.g., AI/ML, agentic frameworks, AI-first architectures, cloud-native platforms) and guiding teams to adopt innovative best practices that ensure systems remain adaptable and future-ready. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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