> Markdown version of [/jobs/ext/1730118-data-engineer-l5-ads-new](https://www.wearedevelopers.com/jobs/ext/1730118-data-engineer-l5-ads-new). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (L5) - Ads New - **Company:** Netflix, Inc. - **Location:** Reading, MA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Data Analysis, Big Data, Data Architecture, Data Files, Data Transformation, Data Warehousing, Distributed Computing Environment, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Operational Databases, Software Tools, Standard Sql, Software Engineering, Data Streaming, Apache Spark, Core Data, Apache Flink, Presto, Stream Processing, Data Pipelines, Programming Languages - **Published:** July 21, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/data-engineer-l5-ads/352179 ## About the Role * Beyond talented, you are curious, creative, and tenacious. * Sharp communicator who can break down and explain complex data problems in clear and concise language. * You 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 impact * You have a high tolerance for ambiguity and fast-changing context * Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop * Knowledge in data modeling and establishing data architecture across multiple systems * Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. * Create code that is understandable, simple, and clean, and take pride in its beauty. * Love freedom and hate being micromanaged. Given context, you're capable of self-direction. * Passionate about data quality and delivering effective data to impact the business. ## Description * Architect, strengthen, and expand the core data products that scale our Ads business. You'll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan. * Fully own critical portions of Netflix' Ads data products. Collaborate 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 data. * Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively * Develop best practices for governance of data sets with sensitive information * Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners What (ideally) do you know? * Domains related to advertising, data privacy, GDPR * Data warehousing, data modeling, and data transformation for both batch and streaming * Hands on command programming languages such as python, scala or java as well data exploration using sql * Expert at building performant data pipelines and optimizing existing workflows for new features * Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc. * Experience with sourcing and modeling data from application APIs * Team based software development tools and best practices ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers)