Data Engineer - Games

$170,000 - $720,000/Yr

Netflix - Los Gatos, CA

Full-time - Mid Level

Los Gatos, CA

10,001+ employees

Broadcasting and Content Providers

About the position

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.

Responsibilities

• Take ownership and increase automation and scale of complex data sets that drive use cases by analytical partners.
• Build robust data pipelines that output very high data quality at scale using any combination of Spark, Flink, Python, and Scala.
• Collaborate with the logging infrastructure team to develop and maintain key schemas for use by all games.

Requirements

• 7+ years in software development, with experience building systems that collect or process data for use in analytics products.
• Experience building production data pipelines using Spark, Flink, or Hive/Hadoop.
• Hands-on experience with schema design and data modeling.
• Programming proficiency in Python, or Scala/Java.
• Strong SQL skills and knowledge.
• Excellent communication skills to effectively collaborate with analytical partners, domain experts, and other consumers of your work.

Nice-to-haves

• Experience in a software engineering role with a focus or passion for data-driven solutions.
• Ability to manage cross-functional engineering projects with a high level of autonomy.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees