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 600 billion queries per day (more than 100X the query volume of search globally), our platform operates at unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, empathy, collaboration, and ownership. By working together across typical dividing lines, we are better as a team than any of us could be apart.
Do you have a passion for solving hard problems at scale? Are you eager to join a trust-based, globally-connected team, where your contributions will make a meaningful difference?
Come and see why Fortune Magazine consistently ranks The Trade Desk among best small-medium sized workplaces globally.
ABOUT THE ROLE:
- Our Senior Software Engineers take end-to-end ownership of designing, building, and delivering data products for our clients. You will actively participate in all aspects of this process.
- You will tackle petabyte-scale data challenges, large-scale distributed systems coordinating thousands of servers in both cloud and physical data centers worldwide, as well as machine learning and advanced visualizations, to name just a few.
- You will work on a variety of tasks, including data processing pipelines, ML pipelines, data processing automation, data governance, data visualization, data quality, data privacy, and data warehousing.
- You will collaborate closely with data scientists to bring exceptional solutions to our customers.
WHO WE ARE LOOKING FOR:
- You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful data engineering projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.
- You understand engineering fundamentals and are a creative thinker. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You are able to work from first principles to evaluate solutions and adapt them to a unique environment. You are not bound by "the way things have always been done". We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.
- You have experience in data engineering. You've developed with a variety of platforms and technologies, such as PyTorch, Tensorflow, Spark, .NET Core, Java, SQL Server, Docker, Kubernetes, AWS, Azure, .
- You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
- You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.