Data Engineer

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

A culture of experimentation enables Netflix to continuously evolve and improve our products, delivering more joy to existing members and attracting new members from around the globe. Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Software Engineering, Data Engineering, and Data Science partners.

At the nerve center of experimentation at Netflix is our internal, Netflix-wide, Experimentation Platform which accelerates innovation by enabling teams to rapidly learn from and act on their ideas. We are looking to add a data engineer to the team to improve the speed, reliability, and structure of our data pipelines that process billions of new events per day. These data pipelines are the foundation on which all experiment analysis at Netflix is built.

Responsibilities

• Work closely with data science and software engineering teammates to act as a strategic thought partner, solve emerging data needs, and ensure that our platform continues to deliver trustworthy and useful analysis results

• Work closely with data engineering and data science partners to set and improve the standards for experiment analysis across Netflix, e.g. via better data contracts and data health

• Design, build, operate, and maintain Spark data pipelines that process billions of allocation events per day and expose a silver layer in Iceberg

• Develop new tooling and pipeline automation to meet emerging experimentation-related business needs

Qualifications

• Strong proficiency with technologies like Spark or Flink, comfort working with large scale datasets

• Strong proficiency in data modeling, processing, automated testing, health, observability, and debugging

• Fluency in at least one SQL dialect and proficiency in at least one programming language (e.g. Java, Scala, Python)

• Excellent communication and collaboration skills

• Ability to navigate ambiguous problem statements and solve for cohesive platform data solutions

Curious to learn more about our experimentation culture at Netflix? Read up on  experimentation culture at Netflix and   browse the  Netflix Research page .

Generally, 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 $380,000.00 - $610,000.00. This compensation range will vary based on location.

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 .

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.