Analytics Engineer 5 - Cloud Games Infrastructure Data Products

Netflix•,

30d•$330,000 - $566,000

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Our cloud games offering is an incredible opportunity to deliver new experiences that delight and entertain our growing membership. You will be joining us at an exciting time as we roll out more games on our cloud service and be in a position to help us redefine what a Netflix subscription means for our members around the world. This analytics engineering role owns the datasets produced by the systems that power the cloud games experience, spanning areas such as the quality of experience (QoE) members have when they play and the capacity and utilization of the infrastructure that delivers it. This role will build the metrics, tooling, and data products that make this data trustworthy, discoverable, and self-service, and operationalize them across the business to drive prioritization of the highest-impact opportunities. You will join the team of Analytics Engineers, Data Scientists, and Data Engineers who partner closely with the infrastructure engineering teams to turn telemetry into self-service data products that guide how the business invests in its cloud gaming infrastructure.

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.
An appetite for learning and adopting AI capabilities as a means to supercharge your workflow, paired with the judgment to know when their output is trustworthy and explainable enough to act on.
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, with the ability to effectively partner with data engineering teams, building more scalable solutions for the most important use cases.
Strong judgment about where to invest, the discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability over one-off outputs.
Experience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels.
Comfort with ambiguity and the ability to thrive with minimal oversight and process.
Embodied the Netflix values while bringing a new perspective to continue improving our culture.

Nice To Haves

Previous dbt experience

Responsibilities

Partner closely with our engineering teams to develop deep expertise in how the cloud gaming infrastructure works, across both quality of experience and capacity and utilization, and understand how data, analytics, experimentation, and algorithms can drive improvements to its performance and how we invest in it.
Own the analytic data layer and the data products (pipelines, tables, dashboards, AI agents, tooling, and self-service assets) that turn our QoE framework and our capacity and utilization characterization into reliable insights for partners.
Work across the entire data stack, including telemetry extension and logging, data modeling, metrics development, visualization, and insights generation, to drive alignment of resources against the most important problems in this space.
Build toward self-service access rather than ad hoc delivery, and ensure what the team publishes is trustworthy, well-documented, and maintainable over time.
Independently identify and drive the highest-leverage investments across the cloud games infrastructure data domain.