Data Engineer (L4) - Games

Now is an amazing time to join Netflix as we seek to entertain the world. We have over 200 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 jumping in at the very beginning of this adventure 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 key pipelines to determine both individual game, and overall game portfolio performance. This role will be partnering closely with our Game studio stakeholders to understand the kinds of data that will need to be collected. As a member of this team, you may also work directly with our Game Development teams, as they work to collect telemetry from specific games.

The ideal candidate will have a strong background in distributed data processing, have great and demonstrable data intuition, and share our passion for continuously improving Netflix Games.

In this role, you will:

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
• Partner with our game studio leads to evolve the top-level metrics for games (retention etc)Partner with Netflix's internal game studios (Night School, Next Games, Boss Fight and Spry Fox) to ingest relevant metrics and game data to the Netflix ecosystem
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts
• Partner with the Netflix SDK team and Netflix external game partners (i.e Gameloft) to bring data in via the Netflix Games SDK
• Develop a deep understanding of the emerging games domain at Netflix

About you:

• Comfortable with advanced SQL
• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
• Experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets
• Passionate about building intuitive data products
• Excel at taking requirements and implementing scalable data models and pipelines
• Excited about demonstrating excellence, learning new technologies and growing your career
• Highly proficient in at least one of Java, Python or Scala with at least 2 years of software/data engineering experience

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $150,000 - $750,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.