27 days ago
Base Salary
$380k - $610k/yr
Responsibilities
- Architect, strengthen, and expand core data products supporting Netflix’s advertising business.
- Own critical portions of Ads data products from stakeholder discovery through data modeling and implementation.
- Build large-scale batch and streaming data processing solutions using software engineering and data warehouse best practices.
- Partner with analytics engineers, data scientists, software engineers, and machine learning practitioners to support analysis, ML, and reporting.
- Develop governance best practices for datasets containing sensitive information.
- Optimize existing data pipelines and workflows while ensuring data quality and timely delivery.
Requirements
- Extensive technical experience working with data at scale and a strong analytical mindset.
- Hands-on experience building production batch or streaming data pipelines with distributed processing frameworks such as Spark, Flink, or Hive/Hadoop.
- Knowledge of data modeling and data architecture across multiple systems.
- Programming experience with Python, Scala, or Java and data exploration using SQL.
- Expertise building performant data pipelines and optimizing workflows for new features.
- Experience with data warehousing, data transformation, stream processing, Hadoop, Spark, Flink, Hive, Presto, and application APIs.
- Knowledge of advertising data, data privacy, GDPR, and governance of sensitive information is preferred.
- Strong communication, self-direction, collaboration, and ability to operate effectively in ambiguous and fast-changing contexts.
Benefits
- Annual salary range of $380,000.00-$610,000.00; compensation may be allocated between salary and stock options.
- Comprehensive health plans, mental health support, 401(k) 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 programs; full-time salaried employees are immediately entitled to flexible time off.
- Equal-opportunity employer with disability accommodations available during the hiring process.
Tech Stack
Categories
Data Engineering
About Netflix
Netflix builds and operates a global streaming service for TV series, films, games, and live programming, and produces original content through its in-house studio. It serves consumers in 190+ countries via subscription and ad-supported plans on internet-connected devices. Founded in 1997 and headquartered in Los Gatos, California, Netflix is a public company traded on NASDAQ (NFLX).