Netflix Logo

Netflix

Data Engineer 5 - Distributed Systems, Growth

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in Washington, DC
170K-720K Annually
Senior level
In-Office or Remote
Hiring Remotely in Washington, DC
170K-720K Annually
Senior level
Design, build, and operate low-latency, highly available distributed data systems and services to deliver high-quality data for algorithms and ML. Partner with data scientists and product teams to enable self-service data, real-time and batch processing, observability, and scalable multi-tenant solutions that run 24x7.
The summary above was generated by AI

Netflix is one of the world's leading entertainment services, with 283 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.

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 Netflix's Culture. 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.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.

Netflix New York, New York, USA Office

245 W 17th St, New York, NY, United States, 10011

Similar Jobs

3 Days Ago
Remote
United States
140K-175K Annually
Mid level
140K-175K Annually
Mid level
Healthtech • Software
The Data Engineer will build and maintain data platforms, deploy pipelines, monitor transformations, and collaborate with Data Scientists and DevOps.
Top Skills: AWSAzureGCPPythonSnowflakeSQLTerraform
2 Hours Ago
Remote or Hybrid
United States
97K-145K Annually
Senior level
97K-145K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Serve as Financial Reporting Manager for FQHC healthcare clients: deliver financial reports and KPIs, support budgeting/forecasting and cash flow modeling, provide technical accounting guidance, lead and mentor staff, collaborate with advisory teams, support client onboarding and system setup, improve processes, and assist with technology integrations and training. Travel up to 10%.
Top Skills: IntacctMicrosoft Office SuiteNetSuiteQuickbooks
12 Hours Ago
Remote or Hybrid
United States
20-30 Hourly
Mid level
20-30 Hourly
Mid level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Perform preliminary website compliance audits and independently manage monthly OEM compliance submissions to third-party auditors. Troubleshoot issues with agencies, communicate remediation steps to clients and internal teams, log and track compliance cases, collaborate with cross-functional teams, and develop brand-specific subject-matter expertise.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account