About the job
The Trade Desk is a pioneering global technology enterprise dedicated to fostering a more transparent and equitable Internet through principled and intelligent advertising.
With the extraordinary capability to handle over 1 trillion queries daily, our dynamic team leverages some of the most innovative technology stacks to meet our unparalleled operational scale. Whether it involves Spark clusters, Databricks, machine learning, or other cutting-edge technologies, we select the optimal tools to address complex challenges. We are committed to continuous learning and collaboration, driving solutions together.
Are you passionate about tackling challenging problems at scale? Do you wish to join a team of like-minded, talented, and enthusiastic engineers who thrive on overcoming challenges? If so, we invite you to apply!
ABOUT THE ROLE:
As a Senior Software Engineer, you will take full ownership of designing, developing, and delivering data products for our clients. Your involvement will span all phases of this process.
You will address petabyte-scale data challenges and manage large-scale distributed systems that connect thousands of servers across cloud and physical data centers globally, while also delving into machine learning and advanced technologies.
Your responsibilities will include developing data processing pipelines, automating data processes, creating model training pipelines, and serving models.
Collaborating closely with data scientists and business teams, you will help deliver outstanding solutions to our customers.
WHO WE ARE LOOKING FOR:
You possess a proven track record of making significant, autonomous contributions to large-scale impactful data engineering projects. You are driven to understand the underlying reasons behind your tasks, thinking beyond the immediate problem.
With a solid understanding of engineering fundamentals and a creative mindset, you can navigate unique environments where conventional techniques may not suffice. We seek engineers who can discover innovative solutions to unasked questions, rather than those who merely follow traditional methods.
You have a background in data engineering and are proficient with various platforms and technologies, including Spark, .NET Core, Java, Scala, SQL Server, Docker, Kubernetes, AWS, Azure, and more.
Your product-focused approach allows you to contribute actively to identifying what delights our clients, advancing one of the world's largest and most influential industries towards a vision of open collaboration.