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# Staff Data Engineer (L6) - Ads

- **Company:** Netflix, Inc.
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Infrastructure, Data Migration, Distributed Data Store, Data Streaming, Apache Spark, Backend, Information Technology, Apache Kafka
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-data-engineer-l6-ads-new-york-ny--e116ed61-3b26-4cd2-b574-a979e6cc4022

## About the Role

Storytelling, Leading Edge Technology, Ad Serving, Forecasting, Ecosystems, Data Migration, Quality Metrics, Workflow Analysis, Communication Skills, Technical/Engineering Design

## Description

* 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.

What will you do?

 * 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.