Netflix Data Engineer L5 - Conversation 

United States, New York 

892587852

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• You have 8+ years of experience and proficiency building data pipelines in both batch and real-time settings, to support a variety of use cases. Some of our data sources are small (e.g., sales at Netflix House), and some are enormous (e.g., social media feeds). Our stack is Spark, Flink, Hive/Iceberg, Kafka - experience with these specific technologies is helpful, but not strictly required.

• You are proficient in Python for scripting, automation, and data orchestration frameworks, and you can write complex SQL (any variant) for ad-hoc and recurring workflows. You strive to write elegant and maintainable code, and you're comfortable picking up new technologies.

• You understand how to model data efficiently for reporting and metrics, and how to organize data for scale and fast retrieval.

• You have experience sourcing and modeling data from application APIs.

• You’ve worked with common data warehouse solutions, such as Snowflake, Redshift, BigQuery, Vertica, Teradata, Greenplum, etc.

• Fully own critical pipelines and data sets to support Netflix efforts around marketing and fandom.

• Directly collaborate with stakeholders to understand needs, model tables using data warehouse best practices, and develop data pipelines to ensure the timely delivery of high quality data.

• Creatively explore how to use data to continually add value to Netflix. Translate ambiguous business questions into clear data requirements, and then deliver on them.

• Be a bridge between data engineering and the business, enabling insights that empower our colleagues to make better and more informed decisions.

• Build strong partnerships with data scientists, analytics engineers, and machine Learning practitioners to enable research and insight delivery for the business.

• You want to live and breathe the. Our ways of working are different, and you are excited to embrace and contribute to our culture.

• You work quickly and independently while also collaborating effectively across functions (e.g. with marketing experts, data scientists, product managers).

• You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.

• You have a growth mindset, and expect the same from your colleagues. Not only talented, you are also curious, authentic, selfless, determined, and industrious. You generously give and receive candid feedback, to grow yourself and those around you.

• You have strong beliefs that are weakly held: you can deliberate and hear all sides of a discussion, and adapt to new perspectives that emerge from it.

• You are a sharp communicator who can break down and explain complex data problems in clear and concise language.

• You are comfortable getting outside of your comfort zone, to explore new tech, make your own tools, or find new creative ways to address an old problem.

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.

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