Palo Alto Networksposted 18 days ago
$124,000 - $201,500/Yr
Full-time • Mid Level
Santa Clara, CA
Professional, Scientific, and Technical Services

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.

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.

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.

Benefits

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