> Markdown version of [/jobs/ext/2734834-staff-data-engineer-l6-ads-new](https://www.wearedevelopers.com/jobs/ext/2734834-staff-data-engineer-l6-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). --- # Staff Data Engineer (L6) - Ads New - **Company:** Netflix, Inc. - **Location:** Reading, MA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Distributed Data Store, Data Streaming, Apache Spark, Backend, Information Technology, Apache Kafka - **Published:** September 5, 2026 - **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/staff-data-engineer-l6-ads/357717 ## About the Role * A seasoned technologist with 15+ years building data-foundation, backend, or data engineering systems, someone other engineers naturally look to for direction. * You've spent real time in advertising or ad-tech data, and while your depth may run deepest in one domain, you're comfortable moving across several. * You've built trust and driven technical direction across organizational lines, not just within your own team, and you've done it in more than one company or role. * You've lived through the messy middle of a major platform migration or data products' journey from 0 to 1 and 1 to 100, and you have the scars and the instincts to show for it. * You approach and design data as a product for the business with focus on users, quality, and measurable impact; You build data foundations as flywheels to unlock impact across the business, well beyond just orchestrating pipelines and serving analytics workflows. * You take data privacy and governance seriously, not as a checkbox, but as something you've actually built for. * You're a clear, thoughtful communicator who can translate technical nuance for engineers and business context for leaders, often in the same conversation. * You're comfortable with ambiguity, and just as comfortable helping a room of smart, opinionated engineers land on a shared answer. * You genuinely enjoy helping other engineers grow, and see that as just as core to the job as your own technical output. ## Description * Set technical direction and design coherence across the entire Ads Data Engineering org, connecting the dots between domains rather than optimizing just one. * Weigh in on and help resolve cross-domain design decisions, helping teams converge on approaches that scale across the org, not just within a single team. * Partner closely with the Ads DE director and DE managers as a senior technical voice, bridging technical strategy with broader business priorities. * Mentor and coach data engineers across the org, helping them grow technically and adopt AI and emerging tools and technologies. * Build strong partnerships with senior engineers on our data platform and D&I teams, contributing to and shaping horizontal and platform-wide efforts. * Help define what AI-native data engineering looks like for Ads DE as the function continues to evolve. * You will be the primary technical voice in partnerships with Ads Platform Engineering, Ads Data Science, and Product; Your impact will be at the Ads level, not at the sub-domain or pipeline-level. What (ideally) do you know? * Modern data stacks end-to-end: ingestion, processing, storage, and serving. * Ad-tech systems and data flows, ideally with direct exposure to domains like bidding, measurement, or attribution. * Large-scale distributed data systems such as Spark, Kafka, or columnar stores. * The latest in AI and agentic technologies as they apply to data engineering. * A graduate degree in Computer Science with a data focus is a plus, as is experience formally mentoring engineers on their technical growth. ## Related Videos - [DevOps at Netflix](https://www.wearedevelopers.com/videos/270-devops-at-netflix) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Let's Get Started With Apache Kafka® for Python Developers](https://www.wearedevelopers.com/videos/565-let-s-get-started-with-apache-kafka-for-python-developers) ## 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) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)