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Privacy Engineer (L4), Data Protection

Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.
Calle Juan Ramón Poll C., Panamá, Provincia de Panamá, Panama
$100,000 - $720,000
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
4+ years of experience
Entertainment · AI · Cybersecurity
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Description For Privacy Engineer (L4), Data Protection

Netflix is seeking a Privacy Engineer (L4) for their Data Protection team. This role focuses on Analytics Engineering within the Data Protection program, working alongside Security and Privacy Engineers, Software and Data Engineers, Product Managers, and Legal. The successful candidate will use privacy domain and analytics engineering expertise to provide actionable insights through metrics, dashboards, and visualizations. They will analyze and improve metadata information about Netflix's data assets, influence decision-making, create new analytics workflows and tools, and establish partnerships with stakeholders. The work spans across the Data Protection program, including data classification, policy development, and control and capability design. The ideal candidate is passionate about privacy and data protection, fluent in SQL and Python, familiar with data cataloging and classification practices, and comfortable operating in ambiguous and fast-paced environments. Netflix offers a comprehensive benefits package and a unique culture that empowers employees to produce their best work. The company values diversity and inclusion, providing equal opportunities to all candidates.

Last updated 9 months ago

Responsibilities For Privacy Engineer (L4), Data Protection

  • Provide privacy engineering guidance, support, and assurance throughout the company
  • Use privacy domain and analytics engineering expertise to provide actionable insights
  • Analyze and improve metadata information about Netflix's data assets
  • Create new analytics workflows and tools
  • Establish strong partnerships with stakeholders
  • Work on data classification, policy development, control and capability design, implementation, and rollout

Requirements For Privacy Engineer (L4), Data Protection

Python
  • Passionate about privacy and data protection
  • Fluent in SQL and Python (or similar languages)
  • Familiar with data cataloging, classification, retention and access control approaches and best practices at scale
  • Experience with data engineering technologies (e.g. Spark) and visualization tools (e.g. Tableau)
  • Ability to utilize various communication and collaboration tools
  • Comfortable operating in ambiguous and fast-paced environments

Benefits For Privacy Engineer (L4), Data Protection

401k
Medical Insurance
Mental Health Assistance
Parental Leave
Equity
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • Paid leave of absence programs
  • Flexible time off for full-time salaried employees

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