
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🔥 1 minute ago
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10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team. • Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions. • Transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions. • Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring. • Proactively bring data-driven perspectives that challenge assumptions, uncover growth opportunities, and shape the future direction of Netflix Consumer Products. • Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.
• 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience. • Expert in SQL • Deep experience with Python for data manipulation and automation. • Strong ability to translate ambiguous business requests into concrete data products. • Strong bias to action, favoring iteration and rapid results over perfect but delayed solutions. • Exceptional communication with technical and non-technical audiences; able to effectively influence senior stakeholders and explain complex technical concepts with clarity. • Proactively learning and adopting AI capabilities to supercharge workflow.
• 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 • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off.
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