Role Overview
The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem – Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform real-time multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems.
What You Will Do
Design and maintain data pipelines and analytics infrastructure supporting Roku’s CTV advertising auction platform. Build ETL/ELT workflows in Airflow to process auction events, create scalable batch and streaming pipelines for billions of daily ad events, and model datasets for multi-objective optimization and marketplace analytics.
Why It Might Be a Fit
This role is ideal for an engineer who enjoys high-scale data systems, strong data quality practices, and measurable business impact. You will partner with product, analytics, and data science teams to translate business needs into well-modeled, reliable data products.
Requirements
- Experience designing and operating production data pipelines at scale
- Strong SQL and Python skills and hands-on Airflow experience
- Experience with both batch and streaming data architectures
- Familiarity with cloud data platforms and distributed processing systems
- Experience modeling event-driven data for analytics and experimentation
- Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield
- Strong fundamentals in data quality, lineage, monitoring, and governance
Benefits
- Global access to mental health and financial wellness support and resources
- Statutory and voluntary benefits
- Healthcare (medical, dental, and vision)
- Life, accident, disability, commuter, and retirement options (401(k)/pension)
- Time off, in accordance with local leave policies and other personal needs
To apply for this job please visit www.weareroku.com.

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