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The Trade Desk

Builds software for buying digital advertising

Staff Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBellevue, WA, USA

About the Job

Requirements

  • A bachelor's degree (U.S. or foreign equivalent) in Information Technology, Computer Engineering, or a related field is required.
  • Five years of experience in the job offered or a related role are required.
  • Three years of experience in software development using Python, Java, or Scala are required.
  • Three years of experience building and deploying services on cloud platforms, including AWS, GCP, or Azure, are required.
  • Three years of experience building and operating large-scale distributed systems in production are required.
  • Two years of experience designing and building data pipelines using distributed data processing frameworks, including Apache Spark, are required.
  • Two years of experience designing and implementing RESTful APIs and backend services are required.
  • Two years of experience working with relational databases and NoSQL databases are required.
  • Two years of experience in data modeling and query performance optimization for large-scale datasets are required.

Responsibilities

  • Design, develop, and maintain scalable backend data pipelines for processing large-scale content catalogs and metadata using distributed data processing frameworks such as Apache Spark.
  • Develop and optimize high-throughput data processing workflows to ingest, transform, and aggregate large-scale datasets with optimal performance and reliability.
  • Design and implement secure, scalable RESTful APIs to expose data services to internal platforms and downstream consumers.
  • Architect and build data integration solutions connecting heterogeneous data sources and destinations across the platform, ensuring data consistency and availability.
  • Collaborate with data scientists and machine learning engineers to integrate models and algorithms into production environments, including supporting feature engineering and model-serving pipelines.
  • Implement monitoring, alerting, and observability frameworks for data pipelines to ensure reliability, performance, and high availability at scale.
  • Optimize data storage and retrieval mechanisms, including data modeling, indexing strategies, and query performance tuning across relational databases, NoSQL stores, and cloud-based data warehouses.
  • Contribute to architectural decisions for backend and data infrastructure, partner with cross-functional stakeholders to translate business requirements into technical solutions, and apply data engineering best practices including data quality validation, error handling, and recovery mechanisms.

About the Company

The Trade Desk

Builds software for buying digital advertising

The Trade Desk builds advertising software that agencies and brands use to buy digital ad space across streaming television, websites, mobile apps, and audio. Its Kokai platform combines campaign planning, audience selection, buying, and measurement in one workspace. Buyers bring their own customer data, choose audiences and budgets, and use automated bidding to purchase impressions from publishers and advertising exchanges. The company earns platform fees generally based on a share of client spending, plus fees for data and other services, while reporting revenue net of most supplier costs. The Trade Desk was founded in 2009 and is headquartered in Ventura, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Ventura, CA
Founded
2009

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