Data Engineer - Platform

Job Description

Data Engineer (L5) - Platform

Netflix is enjoyed by more than 200 million members globally, entertaining new audiences every day. Netflix's cloud platform plays a key role in making the Netflix experience great. We are one of the pioneers of leveraging a highly scalable distributed cloud footprint to deliver delightful experiences to our members worldwide.

The Security and Platform Data Engineering team builds data products which enable architecting secure, reliable, scalable, and efficient platforms. We partner with our security and 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 custom big data platform, productivity tools, network architecture, capacity and demand planning.

We are looking for a Senior Data Engineer to build reliable data pipelines 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 background 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 models and an expert in distributed data processing patterns
• Highly proficient in at least one of Java, Python or Scala with at least 5 years of software/data engineering experience
• Comfortable with complex SQL
• Expert in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on large scale data sets demonstrated through years of experience
• Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
• Excel at taking vague requirements and crystallizing them into scalable data solutions
• Excited about operating independently, demonstrating excellence, and learning new technologies and frameworks

What you will do:
• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop subject-matter expertise in the cloud infrastructure domain at Netflix
• Act as a thought partner to the platform engineering team, understand their challenges, and make opinionated recommendations that empower them with data solutions to efficiently scale Netflix infrastructure and tools
• Maintain and rethink existing datasets and pipelines to service a wider variety of use cases
• 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

A few more things to know:

We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.

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.

Jobcode: Reference SBJ-d99yz9-3-138-204-208-42 in your application.