Staff Data Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Palo Alto Networks · 2 days ago

Staff Data Engineer

Palo Alto Networks is a cybersecurity company dedicated to protecting the digital way of life. They are seeking a Staff Data Engineer to design, implement, and maintain scalable data transformations and analytical solutions that support business objectives, collaborating with various stakeholders to improve business outcomes.

Agentic AICloud SecurityCyber SecurityNetwork SecuritySecurity
check
Growth Opportunities
badNo H1Bnote

Responsibilities

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

Qualification

Data engineeringSQL programmingETL toolsCloud platformsBig data toolsPython/ScalaBI toolsAnalytical skillsCommunication skillsInterpersonal skills

Required

Bachelor's or Master'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
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 (GCP), and experience with relevant services (e.g. GCP Dataflow, GCP DataProc, Big 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
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

Preferred

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
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
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

Benefits

Restricted stock units
Bonus

Company

Palo Alto Networks

company-logo
Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.

Funding

Current Stage
Public Company
Total Funding
$65M
Key Investors
Icon VenturesLehman HoldingsGlobespan Capital Partners
2012-07-20IPO
2008-11-03Series C· $10M
2008-08-18Series C· $27M

Leadership Team

leader-logo
Helmut Reisinger
CEO EMEA
linkedin
leader-logo
Nikesh Arora
Chairman CEO
linkedin
Company data provided by crunchbase