Data Engineer 5 – Distributed Systems, Growth

Job not on LinkedIn

🕒 June 27

☕ Washington – Remote

☕ Washington – Remote

💵 $170k - $720k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• 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 commerce, identity flows, and more. • 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. • Collaborate with product management, data science, engineering, etc in service of business needs.

🎯 Requirements

• Proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant) • Strive to write elegant and maintainable code • Comfortable with picking up new technologies • Have a product mindset and are curious to understand the business's needs • Strong data intuition and know how to apply analytical skills and data engineering fundamentals to support building high-quality data products • Experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions • Knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc. • Experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability • Craft scalable systems and solutions to realize a range of product and engineering goals • 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 • Prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution • Own what you build, beyond just your code and have a passion for quality • Comfortable working in the most agile of environments with vague requirements • Nimble and can pivot easily when needed • Unafraid to take smart risks.

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • 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.