Senior Software Engineer - Back-end​/Data Pipeline - VenturaOS

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide.

The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another.

If you’re driven to solve meaningful challenges, we’d love to meet you.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

We're a small, high-impact team building the next-generation TV operating system. Our flexible structure gives engineers direct influence over product direction—an opportunity rarely found in larger companies.

Our innovative approach to the CTV industry optimizes the advertising supply chain, creating better outcomes for advertisers, publishers, and TV viewers alike. As part of our Ventura OS project, we're developing sophisticated backend infrastructure to power our platform, with a strong emphasis on quality at scale.

We believe culture matters. We foster an environment where engineers thrive through collaboration, innovation, and continuous learning. Our teams build cutting‑edge streaming technology that enables advertisers to leverage data for more relevant and effective ad experiences—while improving efficiency across the entire supply chain ecosystem.

This role is ideal for someone passionate about streaming, TVOS, or e-commerce data ecosystems
, who thrives in high‑scale, data‑intensive environments and enjoys solving complex technical challenges. If you’re looking to shape the future of personalized content delivery and consumer experiences
, please read on – we’d love to hear from you!

In addition to the core responsibilities of our backend engineers, you will specifically:

• Be part of a nimble, innovative team where engineering drives the vision. If you're excited about building the future of CTV, we'd love to hear from you.
• Design, build, and maintain data pipelines for processing content catalog data using technologies like Apache Spark for the Ventura OS project
• Develop efficient data processing workflows that can handle large‑scale data with optimal performance
• Create robust APIs that securely expose data services to other parts of our platform
• Collaborate with data scientists to integrate with their models and algorithms in production environments
• Build scalable data integration solutions that connect various data sources and destinations
• Implement monitoring and observability for data pipelines to ensure reliability and performance
• Optimize data storage and retrieval mechanisms for our specific use cases
• Contribute to architectural decisions around data…