The Trade Desk

Software Engineer, Commercial Intelligence and Analytics

The Trade Desk
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2 days ago
Chicago, IL, USA +4 moreSenior
H1B Sponsor

Base Salary

$103k - $189k/yr

Responsibilities

  • Own and maintain production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunities, and service risks.
  • Design, build, deploy, and operate scalable insight pipelines, data models, signal logic, and production-ready outputs.
  • Integrate intelligence outputs into dashboards, alerting systems, go-to-market tools, and operational workflows.
  • Build trusted data assets, automated deliverables, and decision-support systems using SQL, Python, validated metrics, and documented logic.
  • Integrate AI and LLM capabilities to support exploration, documentation, anomaly detection, and pipeline quality.
  • Translate ambiguous commercial problems into technical plans, system architectures, requirements, and measurable deliverables.
  • Identify and prioritize scalable investments that improve commercial decision-making and field execution.
  • Instrument intelligence delivery to evaluate whether signals reach users, inform action, and improve outcomes.
  • Improve engineering rigor through documentation, automated testing, metric governance, and version-controlled workflows.

Requirements

  • At least 5 years of experience in analytics engineering, data engineering, software engineering, or a similarly systems-oriented role with strong quantitative foundations.
  • Strong SQL skills and experience with large, complex datasets in modern data environments.
  • Proficiency in Python for production systems, automation, and data pipeline development.
  • Strong software development foundation including Git, code review, testing, and CI/CD pipelines.
  • Experience translating business requirements into technical designs, system architecture, and production-ready deliverables.
  • Experience building durable automated systems instead of relying on ad hoc or manual processes.
  • Demonstrated ability to independently drive systems, automation, or technical initiatives from concept through adoption in ambiguous environments.
  • Experience collaborating with broad internal stakeholder groups, including client-facing teams.
  • Familiarity with AI- or LLM-assisted tools and the judgment to validate outputs for accuracy, rigor, and reliability.
  • Strong written and verbal communication skills and attention to data quality, metric consistency, and engineering rigor.
  • Preferred experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams.
  • Preferred experience deploying proactive signals, recommendations, decision-support systems, production data pipelines, or ETL/ELT systems.
  • Familiarity with advertising technology, digital media, measurement, platform-based commercial models, Salesforce, planning tools, product telemetry, Snowflake, or Databricks.

Benefits

  • Comprehensive medical, dental, and vision healthcare with premiums paid in full for employees and dependents.
  • 401(k) retirement plan with company match, short- and long-term disability coverage, and basic life insurance.
  • Well-being benefits, certain tuition reimbursement, parental leave, sick time, and paid vacation for full-time employees.
  • Approximately 13 paid holidays per year.
  • Employee Stock Purchase Plan with the ability to purchase The Trade Desk stock at a discount.
  • Employees may be eligible for stock-based compensation grants and other variable compensation depending on the role.
  • The posting provides a base salary range of $103,200-$189,200 USD.

Tech Stack

DatabricksDockerGitPythonSnowflakeSQL

Categories

BackendData Engineering
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