Data Engineer (L5) – Games

Netflix is one of the world’s leading entertainment services with 278 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.

The Role

Now is an amazing time to join Netflix as we seek to entertain the world. We have over 250 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be joining us at an exciting time as we roll out more games on both mobile and cloud and be in a position to help us redefine what a Netflix subscription means for our members around the world.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Data Engineer to join our Games DSE team, supporting end-to-end analytics & data needs for the Games space. This role will be partnering closely with our Game stakeholders to develop software and data solutions that enable analysis across the entire library of games.

What You’ll Do:

In Games Product:

• You’ll take ownership and increase automation and scale of complex data sets that drive use cases by our analytical partners. This includes games ‘impression’ data (how are users finding our games?) as well as game platform data (what is the usage and health of our game backend features)
• You’ll build robust data pipelines that output very high data quality at scale using any combination of Spark, Flink, Python and Scala.
• You’ll collaborate with our logging infrastructure team to develop and maintain key schemas for use by all games.

Who You Are:

• 7+ years in software development, with experience building systems that collect or process data for use in analytics products.  
• Enjoy a high level of autonomy in managing cross-functional engineering projects. We value people over process.
• Have experience building production data pipelines using Spark, Flink or Hive/Hadoop. Have hands-on experience with schema design and data modeling.
• Have programming proficiency in Python, or Scala/Java. You have a software engineering mindset and strive to write elegant, maintainable code. You may even be a software engineer with a focus or passion for data-driven solutions.
• Have strong SQL skills and knowledge
• You have excellent communication in sharing context to effectively collaborate with analytical partners, domain experts, and other consumers of your work, preferably in supporting an engineering or product function. We like to collaborate across teams, and so do you.
• You are ambitious and willing to take action but not stubborn. You have the awareness to recognize when you’re wrong and move past your own mistakes. You are humbly confident in yourself and your work.

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 here. Netflix is a unique culture and environment. 

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.