Staff IT Software Engineer - Data Science

Palo Alto Networks • Santa Clara, CA

217d • $124,000 - $201,500

About The Position

As a Data Engineering Developer at Palo Alto Networks, you will join a team at the heart of the cybersecurity revolution. This role is for a creative and driven engineer, passionate about building innovative solutions at the intersection of data, AI, and security. You will have the opportunity to design and build autonomous, AI-driven solutions that proactively address complex challenges, contributing to our mission of protecting the digital world. We are seeking a forward-thinker, a problem-solver who is not afraid to challenge the status quo and who thrives in a fast-paced, collaborative environment.

Requirements

• Minimum 5 years of hands-on experience in data engineering or software development, with a strong emphasis on building data-centric applications.
• Proficiency in one or more programming languages such as Python, Java, or Scala.
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and cloud platforms (e.g., GCP, AWS, Azure).
• Hands-on experience with AI technologies, including machine learning, natural language processing, and deep learning.
• Proven experience in a fast-paced, client-facing environment, driving large-scale transformation projects is highly desirable.
• Exceptional communication and interpersonal skills, with the ability to articulate complex ideas and influence stakeholders.
• A strong academic background from a leading institution in Computer Science, Engineering, or a related field.
• Must be local to SF Bay area to be onsite.

Responsibilities

• Design, build, and maintain scalable and robust data pipelines to process and analyze large-scale security data.
• Develop and implement AI and machine learning models to enhance our threat intelligence capabilities and automate security operations.
• Collaborate with cross-functional teams to identify new opportunities for leveraging data and AI to solve complex problems.
• Design and build autonomous AI agentic solutions, with hands-on experience in LLM architecture, including fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Communicate complex technical concepts to both technical and non-technical audiences, influencing the direction of our data strategy.
• Think outside the box to create innovative solutions, demonstrating a high degree of creativity and curiosity.

Benefits

• FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees.
• Mental and financial health resources.
• Personalized learning opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree