Data Engineer - Data Systems Product

Job Description

Data Engineer (L5) - Data Systems Product

The Role

At Netflix, our mission is to entertain the world. With 278 million paid members in over 190 countries on millions of devices; enjoying TV series, documentaries, and feature films across a wide variety of genres and languages - Netflix is reinventing entertainment from end to end. We are revolutionizing how shows and movies are produced, pushing technological boundaries to efficiently deliver streaming video at a massive scale over the internet, and continuously improving the end-to-end user experience with Netflix across their member journey.

We pride ourselves on using data to inform our decision-making as we work towards our mission. This requires curating data across various domains such as Growth, Finance, Product, Content, and Studio. All of this data collection and curation is made possible thanks to the amazing Data Engineers of Netflix who bring this data to life.

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that bring to life business metrics to real-time processing services that integrate with our core product features. In addition, we require our Data Engineers to have a rich understanding of large distributed systems on which our data solutions rely. Candidates should have knowledge across several of these skill sets and usually need to be deep in at least one. As a Data Engineer, you also need to have strong communication skills since you will need to collaborate with business, engineering, and data science teams to enable a culture of learning. Learn more about the work of data engineers at Netflix.

Location of work: We are considering candidates willing to relocate to Los Gatos or Los Angeles, California, as well as fully remote candidates (remote in the US with occasional visits to Los Gatos).

Who are we?

The Product Data Systems (PDS) team owns and provides access to key data-centric services ( both real-time and batch) for the Netflix Consumer Product landscape. We focus on aggregation, enrichment, domain-specific processing, summarization, storage and serving of high-quality data used to drive areas such as Machine Learning, Games, Ads, Live, and Streaming Video on Demand, as well as metrics used to help drive decisions for our business. For a data engineer on this team, you will focus much of your time on building and maintaining robust data pipelines, owning and providing access to an array of large data tables, and helping drive innovation on high-scale (volume) and high-complexity services at the core of Netflix's product line.

Who are you?
• You are proficient in Java or Scala and comfortable working with SQL
• You have a strong background in at least one of the following: distributed data processing or software engineering of data services, or distributed systems with a focus on data-oriented services at high scale
• You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets (Experience with Spark Streaming is a plus)
• You have experience managing PB+ data tables and pipelines at web scale in production environments
• You have extensive experience with data modeling
• You relate to and embody many of the aspects of the Netflix Culture. You love working independently while also collaborating and giving/receiving candid feedback
• You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks
• You are comfortable with and have experience doing oncall rotations.

A few more things to know:
Our culture is unique and 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.
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 details about our Benefits here. Netflix is a unique culture and environment. Learn more here.

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.

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.

Jobcode: Reference SBJ-d2j40m-3-135-198-231-42 in your application.