PayPal - Austin, TX

posted 18 days ago

Full-time - Mid Level
Hybrid - Austin, TX
Credit Intermediation and Related Activities

About the position

The Data Governance Engineer at PayPal will play a crucial role in developing solutions for AI Personalization, focusing on data reliability and quality. This position is integral to shaping the next generation of checkout experiences for over 400 million consumers and 30 million merchants globally. The engineer will work on building Data Governance foundations that ensure data accuracy, compliance, and accessibility, ultimately enhancing the developer experience and supporting machine learning teams.

Responsibilities

  • Develop solutions for the Data Allowance Manager as a full-stack engineer, building frontend and backend systems to provide governed datasets to ML teams.
  • Write efficient, clean, and reusable code without unnecessary complexity.
  • Mentor and guide other engineers, sharing technical and business insights.
  • Deliver high-quality solutions on schedule and create detailed design documents.
  • Advise management on support issues impacting customer satisfaction, providing actionable recommendations.
  • Present issues and solutions to varied audiences, offering technical and business leadership.
  • Efficiently manage workload, resolving time-critical situations professionally.
  • Contribute to the development of tools, systems, and processes to enhance product supportability and productivity.

Requirements

  • 7-10 years of experience in building full-stack or backend applications.
  • Hands-on experience with cloud services like Microsoft Azure and GCP.
  • Hands-on expertise in Java, Spring Boot, SQL, NoSQL, React, JavaScript, HTML/CSS.
  • Collaborate effectively with product managers, designers, and engineers to implement user-friendly features.
  • Expertise in writing clean, efficient, and well-documented code, following best practices.
  • Deep understanding of object-oriented design and development principles.
  • Experience in designing and developing data-intensive applications for scalability and availability.
  • Strong knowledge of software design patterns, data structures, and algorithms.
  • Excellent analytical and problem-solving skills.
  • Experience collaborating with business users to define requirements and translate them into technical solutions.
  • Familiarity with Unix-based development environments and scripting languages like Unix Shell, Perl, and Python is a plus.
  • Experience with application performance tuning and using industry-standard development tools.
  • Strong debugging and problem resolution skills.
  • Ability to identify performance bottlenecks and apply good coding patterns to avoid them.

Nice-to-haves

  • Familiarity with Unix-based development environments and scripting languages like Unix Shell, Perl, and Python.

Benefits

  • Flexible work environment
  • Employee shares options
  • Health insurance
  • Life insurance
  • Dental insurance
  • Vision insurance
  • Annual performance bonus
  • Equity options
  • Medical benefits
  • Mental health resources
  • Wellness programs
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