Data Engineer, L5 – Ads

🕒 June 27

🇺🇸 United States – Remote

💵 $380k - $610k / 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

• Architect, strengthen, and expand the core data products that scale Ads business • Collaborate with stakeholders to understand needs and model tables using software engineering and data warehouse best practices • Develop large scale data processing solutions for timely delivery of high quality data • Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products • Develop best practices for governance of data sets with sensitive information • Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners.

🎯 Requirements

• Experience with data at scale • Experience with advertising data (preferred) • Building batch or streaming production data pipelines • Knowledge in data modeling and establishing data architecture across multiple systems • Command of programming languages such as python, scala or java • Data exploration using sql • Building performant data pipelines and optimizing existing workflows for new features • Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. • Experience with sourcing and modeling data from application APIs.

🏖️ 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.