Analytics Engineer 5 – Cloud Games Infrastructure Data Products

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Netflix

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Partner closely with engineering teams to develop expertise in cloud gaming infrastructure, including quality of experience, capacity, and utilization • Understand how data, analytics, experimentation, and algorithms can improve infrastructure performance and investment decisions • Own the analytic data layer and data products, including pipelines, tables, dashboards, AI agents, tooling, and self-service assets • Turn the QoE framework and capacity/utilization characterization into reliable insights for partners • Work across telemetry extension and logging, data modeling, metrics development, visualization, and insights generation • Drive alignment of resources against the most important infrastructure problems • Build self-service access instead of ad hoc delivery • Ensure published assets are trustworthy, documented, and maintainable • Independently identify and drive high-leverage investments across the cloud games infrastructure data domain

🎯 Requirements

• Passion for solving real-world problems through analytics, tooling, and visualization, and an eye for independently identifying new, impactful analytic opportunities • Expertise in SQL (Trino, Spark SQL), programming (e.g., Python), ETL, and data warehousing concepts at scale • Previous dbt experience as a bonus • Appetite for learning and adopting AI capabilities, with judgment to assess whether outputs are trustworthy and explainable • Curiosity to pursue deep expertise in data science and engineering with a detailed understanding of distributed systems engineering and networking • Experience developing pipelines of moderate complexity on massive telemetry data sets • Ability to effectively partner with data engineering teams to build scalable solutions • Strong judgment about where to invest, discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability • Experience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels • Comfort with ambiguity and ability to thrive with minimal oversight and process • Embodiment of Netflix values while bringing a new perspective to improve the culture

🏖️ Benefits

• 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