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Netflix Data Engineer L5 - Studio United States, California, Los Angeles 462035611
23.06.2024
What will you do?
- Work alongside data scientists, application developers, and product managers to develop performant and intuitive data interfaces to power statistical/machine learning-based data features in high-visibility internal Studio Creative Production workflow applications.
- Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding large/novel datasets and system architectures.
- Develop end-to-end data solutions, from data sourcing and pipeline development to persistence architecture and data service development.
- Engage with the Data Engineering and ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.
About you
- Beyond talented, you are curious, creative, and tenacious.
- You are not bothered by ambiguity, you find joy in finding patterns in the most complex of environments and bringing order into chaos.
- You have a strong foundation in distributed system architecture and have worked with machine learning workloads, ideally in a multi-modal setting.
- Strong programming skills in Java and Python, familiarity with distributed OLAP data stores like Druid or Pinot, and experience with developing data pipelines in distributed frameworks like Spark.
- Experience preparing and normalizing production media (text, images, video, etc.) for ML is highly desired.
- Have worked with machine learning concepts, ideally including exposure to deep learning approaches like LLM’s.
- You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
- You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
- 4+ years of full-time work experience in one or more relevant SWE/Data Engineering roles.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.
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