[Remote] Data Engineer (L5) - Ads

Note: The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world and is seeking a Data Engineer for its Ads Data Engineering team. The role involves building a data ecosystem to enhance understanding and decision-making regarding ad impact, while collaborating with various stakeholders to develop large-scale data processing solutions.ResponsibilitiesArchitect, strengthen, and expand the core data products that scale our Ads businessFully own critical portions of Netflix' Ads data productsCollaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality dataPartner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitivelyDevelop best practices for governance of data sets with sensitive informationBuild strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitionersSkillsYou have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impactYou have a high tolerance for ambiguity and fast-changing contextHands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/HadoopKnowledge in data modeling and establishing data architecture across multiple systemsThrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forwardCreate code that is understandable, simple, and clean, and take pride in its beautyLove freedom and hate being micromanaged. Given context, you're capable of self-directionPassionate about data quality and delivering effective data to impact the businessArchitect, strengthen, and expand the core data products that scale our Ads businessFully own critical portions of Netflix' Ads data productsCollaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality dataPartner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitivelyDevelop best practices for governance of data sets with sensitive informationBuild strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitionersDomains related to advertising, data privacy, GDPRData warehousing, data modeling, and data transformation for both batch and streamingHands on command programming languages such as python, scala or java as well data exploration using sqlExpert at building performant data pipelines and optimizing existing workflows for new featuresBig Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etcExperience with sourcing and modeling data from application APIsTeam based software development tools and best practicesBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.Company H1B SponsorshipNetflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.