Data Engineer (L5) - Commerce Product Data Engineering
Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
About the team:
The Commerce Product Data Engineering team is responsible for data that is critical in driving business growth at Netflix. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the World”. In this role, you will partner closely with other engineers and data scientists to power experimentation, analytical data products, and machine learning models. This is an opportunity for someone with a strong data engineering background to demonstrate their thought leadership in crafting metrics and elegant insights that have a direct impact on the business.
In this role, you will be an instrumental contributor in developing experimentation and reporting data pipelines that will help us continue to build our ads business. We are invested in protecting our members’ data, and in this particular role we are looking for someone who is capable of being a strong cross-functional partner and data steward to ensure we manage sensitive datasets in a privacy-compliant manner. Since the data you manage will help the company weigh trade-offs and inform key strategic decisions, you will need to build a holistic understanding of the space while also developing deep domain knowledge to inform your technical decision-making.
Who are you:
You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc.
You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style and build strong partnerships with cross-functional stakeholders across organizational lines working effectively with various teams, including data science, privacy, platform, and ads teams
You have a solid handle on best practices relating to data governance and are capable of applying your strong data stewardship skills to managing sensitive datasets and ensuring their quality and security.
You have experience complying with internally or externally imposed privacy constraints and regulations (e.g., GDPR) when it comes to managing data.
You proactively think about ways to build upon and improve the systems you work with and are opinionated about engineering principles and have demonstrated experience delivering positive outcomes by putting those principles into practice.
You leverage your own judgement and input from others to deliver data to meet short-term business needs while also continuously striving for ways to improve our efficiency and effectiveness in delivering long-term value and unlocking new capabilities and insights.
You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.
A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. 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.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.
About the job
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Data Engineer (L5) - Commerce Product Data Engineering
Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
About the team:
The Commerce Product Data Engineering team is responsible for data that is critical in driving business growth at Netflix. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the World”. In this role, you will partner closely with other engineers and data scientists to power experimentation, analytical data products, and machine learning models. This is an opportunity for someone with a strong data engineering background to demonstrate their thought leadership in crafting metrics and elegant insights that have a direct impact on the business.
In this role, you will be an instrumental contributor in developing experimentation and reporting data pipelines that will help us continue to build our ads business. We are invested in protecting our members’ data, and in this particular role we are looking for someone who is capable of being a strong cross-functional partner and data steward to ensure we manage sensitive datasets in a privacy-compliant manner. Since the data you manage will help the company weigh trade-offs and inform key strategic decisions, you will need to build a holistic understanding of the space while also developing deep domain knowledge to inform your technical decision-making.
Who are you:
You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc.
You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style and build strong partnerships with cross-functional stakeholders across organizational lines working effectively with various teams, including data science, privacy, platform, and ads teams
You have a solid handle on best practices relating to data governance and are capable of applying your strong data stewardship skills to managing sensitive datasets and ensuring their quality and security.
You have experience complying with internally or externally imposed privacy constraints and regulations (e.g., GDPR) when it comes to managing data.
You proactively think about ways to build upon and improve the systems you work with and are opinionated about engineering principles and have demonstrated experience delivering positive outcomes by putting those principles into practice.
You leverage your own judgement and input from others to deliver data to meet short-term business needs while also continuously striving for ways to improve our efficiency and effectiveness in delivering long-term value and unlocking new capabilities and insights.
You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.
A few more things to know: Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. 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.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.