Data Engineer
Data Engineer focused on building and scaling Netflix’s experimentation platform, leveraging Python, Spark, SQL, and AWS to design robust data pipelines and support rapid A/B testing and analytics for global product improvements.
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 andbrowse the Netflix Research page .
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 off
Posted June 20, 2026