Data Engineer (L4) - Platform

Netflix is one of the world's leading entertainment services, with over 300 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.

We are in the midst of major transformative developments for the Netflix product with the growth of our advertising-supported plan, Games, and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and scale of the demands on our platform infrastructure.

The Platform Data Engineering team builds data products that enable the architecting of reliable, scalable, and efficient platforms at the internet scale. We partner with our platform engineering teams to empower them with data for smarter decision-making and innovative solutions to challenging problems. 

This role is specifically focused on enabling our cloud platforms to scale effectively and efficiently. Through our data products we enable engineering teams which build and manage our compute platform, our data platforms, network architecture, capacity and demand planning.

We are looking for a Senior Data Engineer to build reliable and intuitive data products that allow our stakeholders to easily leverage data in an effective manner. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data models that describe the entities, interactions and usage of Netflix’ cloud infrastructure. 

The ideal candidate will have a strong track record in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving the ways we use data to make the Netflix infrastructure better.

Who you are:

• Passionate about building intuitive data products 

• Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 6 years of data engineering experience

• Advanced-level SQL skills in a complex data environment

• At least 4 years of experience in engineering data pipelines using big data technologies (Spark, Presto, Flink, etc.) on medium to large-scale data sets

• Comfortable working cross-functionally with multiple types of stakeholders and groups

• Able to successfully lead large, complex systems design and implementation challenges independently

• Prior experience with AWS cloud resources (S3, EC2, RDS etc) strongly preferred

What you will do:

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data 

• Develop a deep understanding of the cloud infrastructure domain at Netflix 

• Partner with the platform engineering and finance teams to understand platform efficiency goals and provide data that will empower teams to improve efficiency 

• Maintain and rethink existing datasets and pipelines

• Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering, etc

• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

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 Benefitshere.

Inclusion 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 diversitybuilds 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.