Data Engineer (L5) - Growth Insights and Foundations

2 Months ago • All levels • Data Analyst • $170,000 PA - $720,000 PA

About the job

Job Description

Netflix seeks a Data Engineer to build low-latency data products for growth insights. Must-haves: JVM language proficiency (Java, Scala), SQL, experience with large-scale distributed systems, data processing frameworks (Spark, Flink), and storage solutions.
Must have:
  • JVM Language
  • SQL Proficiency
  • Distributed Systems
  • Data Processing
Good to have:
  • Spring Framework
  • gRPC Experience
  • API Development
  • Observability Design
Perks:
  • Stock Options
  • Flexible Time Off

Netflix is one of the world’s leading entertainment services with 278 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.

The Role

Netflix is re-imagining entertainment with over 270 million paid memberships in over 190 countries on millions of devices. One of the ways we do this is by using insights from data to optimize for the best customer experience. The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members. In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product. About you:
  • You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
  • You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
  • You possess a strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high quality data products.
  • You have experience building applications that use  large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.  
  • You are passionate about making data available for self-service, and wider integration.  You have knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc.
  • You have experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability.
  • You can craft scalable systems and solutions to realize a range of product and engineering goals.  
  • You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain.
  • You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
  • You own what you build, beyond just your code and have a passion for quality.
  • You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
  • You relate to and embody many aspects of . You love working independently while also collaborating and giving/receiving candid feedback.
Learn more about the team, and technologies you’d get to work with! 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. Netflix provides 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. We also offer 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. See more detail about our Benefits here. Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

View Full Job Description
$170.0K - $720.0K/yr (Outscal est.)
$445.0K/yr avg.
Washington, United States

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About The Company

Netflix is one of the world's leading entertainment services with over 247 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.

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