Data Engineer (L5) - Conversation

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 the world's leading streaming entertainment service. Our members rely on Netflix to entertain them, and we want to be the first place they go for that entertainment. With an audience of 600M+ and growing, we’re programming for more tastes, cultures and languages than any company has ever done before. It’s why we invest in a wide variety of TV shows and films, and work so hard to make them great. 

The reach of Netflix and the fandom we create fuels the “Netflix effect” - a virtuous cycle of great content and intense fandom that catapults our stories into the cultural conversation. Netflix influences what people around the world and , the they listen to, the they read, the , and how they . 

Our marketing efforts help to kick start the Netflix effect, and we are providing more and more ways for fans to engage with our stores: , events like and , and the launch in 2025 of the first two locations. 

Netflix is a data-driven company, and we are hiring multiple data engineers to increase our data support for marketing and fandom activities around the world. The opportunity for impact in these roles is enormous: Netflix social media channels generate more than 100B impressions a year, we are expanding fandom into the real world, and we’ve barely scratched the surface of the data available to support these activities.

What have you done and what do you know? 

• 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. 

What will you do?

• 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. 

Who are you? 

• 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.

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 .

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.