The Trade Desk
Software Engineer, Commercial Intelligence and Analytics
About this role
The Trade Desk seeks a Senior Systems Engineer for Commercial Intelligence and Analytics to design and deploy scalable data systems and insight pipelines that support sales, client services, and revenue operations teams. You'll own the full engineering lifecycle of intelligence systems—from requirements and architecture through production monitoring—translating commercial data into actionable insights that drive decision-making and client outcomes.
What you'll do
- Design, develop, and deploy scalable data pipelines and insight systems using Python, SQL, and Snowflake
- Identify system gaps and architect solutions that improve commercial visibility and decision support for Sales and Client Services teams
- Build and maintain automated workflows and intelligence frameworks that operationalize data into production-grade systems
- Collaborate with Commercial Operations, Revenue Operations, Finance, and Business Technology teams to translate requirements into technical solutions
- Own system reliability, monitoring, and iteration post-deployment to ensure trusted, understandable insights
- Drive end-to-end engineering lifecycle from requirements definition through production support
What they're looking for
- Python
- SQL
- Snowflake
- Tableau
- Git/GitLab and CI/CD
- Docker
- Data pipeline design and architecture
- LLM APIs and AI-assisted workflows
Benefits
- Work on systems impacting global scale and worldwide audience
- Collaborate across cross-functional teams on meaningful, revenue-critical challenges
- Exposure to commercial intelligence and analytics domain
- Access to modern data infrastructure and tools
- Multiple office locations (Bellevue, Chicago, Los Angeles, New York, San Francisco)
- Culture emphasizing learning, diverse perspectives, and curiosity
Opens the official application on the employer’s site. No login required.
The Trade Desk
The Trade Desk builds a global digital advertising platform that processes and manages complex backend services and data workflows. The company is hiring software engineers to design and maintain these systems using technologies like Java, Apache Spark, and cloud services.
- Website
- thetradedesk.com
Likely interview questions
- Walk us through your experience designing and deploying data pipelines in production; how did you ensure reliability and trust?
- Tell us about a time you identified a system gap in a commercial or operational context and architected a solution—what was the impact?