Data Engineer 5 - Playback
Netflix
Job Description
About the Role
Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the end-to-end user experience with Netflix across their member journey. The Playback pod within the Consumer Engineering Product Data Engineering team partners with client and edge systems to produce playback datasets, a source of truth for Title, Live and Ads performance, title popularity (Netflix top 10), and member quality of experience. This team empowers Netflix with data to drive content decisions and understand where content is being watched, on what devices, in what quality, or through which ISP. It enables analytics about client behavior, server choices, or decisions on what content should be placed in which parts of our content network. This role is focused on supporting Netflix's core datasets, delivering high-quality business metrics, and building systems to process batch and real-time data at a large scale. The candidate should have a rich understanding of large distributed systems, modern big data technologies, and software development techniques. The role requires ownership of pipelines and operational excellence, along with a passion for improving streaming data handling at Netflix.
Key Responsibilities
- Help Netflix scale new and existing business efforts by driving data excellence and quality, supporting analytics, developing and maintaining metrics, and partnering with engineering to deliver the next generation of Netflix experiences.
- Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data.
- Partner with numerous engineering teams, analytics engineers, and data scientists to enhance playback-related datasets.
- Maintain and rethink existing pipelines to improve scalability and maintainability.
Requirements
- Strong product ownership and good intuition on how data is used to drive business decisions.
- Mastery over at least one major programming language (e.g., Java, Scala, Python) and SQL.
- Experience with distributed data processing or software engineering of data services.
- Familiarity with big data technologies like Spark and Flink and working with web-scale datasets.
- Passion for the end-to-end software development lifecycle, including automation, testing, CI/CD, and documentation.
- Practical DevOps and operational fundamentals with ownership of code, services, and pipelines.
- Good data intuition, attention to detail, and a passion for data quality.
- Ability to work independently and collaboratively in a rapidly changing environment with ambiguous requirements.
Nice to Have
- Experience creating new product features using data and powering machine-learning models.
- Comfortable working with large-scale datasets and modern big data tools.
- Experience in supporting analytics and data-driven decision making.
Qualifications
- Experience with programming languages such as Java, Scala, or Python.
- Experience with SQL and big data technologies like Spark and Flink.
- Background in distributed data processing or software engineering of data services.
Benefits & Perks
- Comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.
- Paid leave of absence programs.
- Full-time hourly employees accrue 35 days annually for paid time off; full-time salaried employees have immediate flexible time off.
Working at Netflix
Relates to Netflix's culture of ownership, independence, collaboration, candid feedback, nimbleness, and embracing diversity and inclusion. The company values continuous improvement, technical excellence, and a strong commitment to creating an inclusive and supportive work environment.
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About Netflix
Website
netflix.com
Industry
Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers
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