Data Engineer, Ads Auction Platform

Teamwork makes the stream work. , Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV.

Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution.

We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About The Team

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 realtime 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.

At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About The Role

In this role, you will build and maintain data pipelines and analytics infrastructure that power Roku’s CTV advertising auction platform. You will support marketplace optimization by delivering high-quality datasets for advertiser performance, publisher yield, and revenue analysis across batch and near real-time workflows. You will partner with product, analytics, and data science teams to translate business needs into well-modeled, reliable data products.

You will contribute to experimentation, simulation, and reporting foundations that inform bidding strategy and monetization decisions. This role is ideal for an engineer who enjoys high-scale data systems, strong data quality practices, and measurable business impact.

Requirements

We're Excited If You Have 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 Ability to partner