The Trade Desk

Staff Software Engineer

The Trade Desk$206K — $302K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Information Technology, Computer Engineering or related field
  • 5 years of experience in software development or related roles
  • 3 years of experience with Python, Java, or Scala
  • 3 years of experience building services on cloud platforms (AWS, GCP, Azure)
  • 2 years of experience designing data pipelines with Apache Spark

Responsibilities

  • Design and develop scalable backend data pipelines using distributed frameworks
  • Optimize workflows for high-throughput data processing
  • Implement secure RESTful APIs for internal data services
  • Architect solutions for integrating diverse data sources
  • Collaborate with data scientists to deploy machine learning models
  • Establish monitoring frameworks for data pipeline reliability
  • Contribute to backend architecture and apply data engineering best practices

Benefits

  • Comprehensive healthcare including medical, dental, and vision with premiums paid in full
  • 401k retirement plan with company match
  • Short and long-term disability coverage
  • Reimbursement for certain tuition expenses
  • Generous parental leave and sick time
  • Vacation time up to 160 hours after the first year
  • Participation in the Employee Stock Purchase Plan at a discount
Full Job Description
Job Title: Staff Software Engineer Location: 10770 NE 8th St., Suite 700, Bellevue, WA 98004 *Telecommuting permitted: work may be performed within normal commuting distance from The Trade Desk, Inc. office in Bellevue, WA. Job Duties: Design, develop, and maintain scalable backend data pipelines for processing large-scale content catalog and metadata using distributed data processing frameworks such as Apache Spark. Develop and optimize high-throughput data processing workflows capable of ingesting, transforming, and aggregating 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 that connect 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. Salary: $206,086 - $302,200 / year Job Requirements:Bachelor's degree (U.S. or foreign equivalent) in Information Technology, Computer Engineering or related field and five (5) years of experience in the job offered or related role. Must have three (3) years of experience with: software development in Python, Java, or Scala; building and deploying services on cloud platforms, including AWS, GCP, or Azure; and building and operating large-scale distributed systems in production. Must have two (2) years of experience with: designing and building data pipelines using distributed data processing frameworks, including Apache Spark; designing and implementing RESTful APIs and backend services; working with relational databases and NoSQL databases; and data modeling and query performance optimization for large-scale datasets. #LI-DNI In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $206,086-$302,200 USD

About The Trade Desk

The Trade Desk is a global advertising technology company that provides a self-service platform for buyers of digital advertising. The company was founded in 2009 and is headquartered in Ventura, California. The Trade Desk's mission is to empower buyers of advertising with the tools they need to reach their target audiences in a more efficient and effective way. The company's platform allows buyers to manage their advertising campaigns across multiple channels, including display, video, mobile, and social. The Trade Desk's technology uses advanced algorithms and machine learning to optimize ad campaigns in real-time, ensuring that buyers get the best possible return on their investment.
Learn more about The Trade Desk
Size
1,967 employees
Market Cap
$21.4 billion
Industry
Net Income
$242.3 million
Founded
2009
5 Year Trend
+42.6%
Revenue
$836 million
NASDAQ

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