AdTechTalent
Engineering21 days agoOn-site

The Trade Desk

Software Engineer, Commercial Intelligence and Analytics

pythonsqlsnowflaketableaugitci/cdllmdockeranalytics engineeringdata engineeringsoftware engineeringcommercial intelligencedata pipelinesautomationaillm apisrevenue operationssales analytics

Key details

Salary

$103K – $189K

Employment type

Full-time

Seniority

Mid-level

Years experience

5-10

Location

Bellevue, United States

Full job description

The Trade Desk seeks a mid-level Software Engineer for Commercial Intelligence and Analytics to build scalable analytical systems supporting Sales and Client Services. Responsibilities include designing, developing, and maintaining production data systems, insight pipelines, and automated workflows. The role requires 5+ years in analytics, data, or software engineering with strong SQL and Python skills, experience with modern data environments, software development best practices, and familiarity with AI/LLM tools. The engineer will collaborate across teams to deliver reliable intelligence that improves decision-making and client outcomes. Technologies used include Python, SQL, Snowflake, Tableau, Git/GitLab CI/CD, LLM APIs, Docker, Jira, and Confluence. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, paid sick and vacation time, holidays, stock purchase plans, and variable incentives. Salary range is $103,200 to $189,200 USD. Location: Bellevue, Washington, USA.

What you'll do

  • Own and maintain production systems that surface revenue performance, portfolio health, renewal dynamics, client opportunity, and service risk
  • Design, build, and operate proactive insight pipelines translating recurring business needs into system architecture, data models, signal logic, and production-ready outputs
  • Work with Business Technology and Revenue Operations to integrate intelligence outputs into dashboards, alerting systems, and operational workflows
  • Build and deploy tools, signals, and automated deliverables to help teams prioritize effort, identify risk and opportunity, and act with greater precision
  • Build trusted, production-grade data assets and pipelines using SQL, Python, validated metrics, and well-documented logic
  • Integrate AI and LLM capabilities into systems and workflows to accelerate exploration, automate documentation, detect anomalies, and improve pipeline quality
  • Translate ambiguous commercial problems into concrete technical plans, stakeholder-aligned requirements, and measurable deliverables
  • Identify and prioritize scalable system investments likely to drive broad commercial impact
  • Embed intelligence outputs into go-to-market systems and instrument delivery to assess signal effectiveness
  • Raise the team’s engineering bar through rigorous documentation, automated testing, metric governance, and repeatable, version-controlled workflows

Requirements

  • 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 working with large, complex datasets in modern data environments
  • Proficiency in Python for building production systems, automation, and data pipeline development
  • Strong foundation in software development practices including version control (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 rather than relying on ad hoc or manual processes
  • Demonstrated track record of identifying opportunities, proposing solutions, and independently driving systems, automation or technical initiatives from concept through adoption
  • Experience operating in technical environments while collaborating with a broad set of internal stakeholders, including client-facing teams
  • Familiarity with AI- or LLM-assisted tools and strong judgment in applying them responsibly and validating outputs
  • Strong written and verbal communication skills
  • Strong attention to data quality, metric consistency, and engineering rigor

Tech stack

PythonSQLSnowflakeTableauGitGitLabCI/CDLLM APIsDockerJiraConfluence

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time for full-time employees up to 120 hours through the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseVariable compensation-based incentives and commissions depending on roleStock-based compensation grants based on company and individual performance

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