Data Engineer (L5)

At Netflix our mission is to entertain the world. With 200+ 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 who are willing to relocate to Los Gatos California as well as fully-remote candidates (remote in the US with occasional visits to Los Gatos) depending on the team your skills are most aligned with.

Who are you?

• You strive to write elegant code and you're comfortable with picking up new technologies independently

• You are proficient in at least one major programming language (e.g. Java Scala Python) and comfortable working with SQL

• You enjoy helping teams push the boundaries of analytical insights creating new product features using data and powering machine learning models

• You have a strong background in at least one of the following: distributed data processing or software engineering of data services or data modeling

• You are familiar with big data technologies like Spark or Flink and comfortable working with web-scale datasets

• You have an eye for detail good data intuition and a passion for data quality

• You appreciate the importance of great documentation and data debugging skills

• 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

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 is $170000 - $720000.

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.  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.