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Staff Software Engineer

The Trade Desk

SCHENECTADY, NYJobSeen 1w agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
SCHENECTADY, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Trade Desk is building backend infrastructure for its Ventura OS next-generation TV operating system. The role focuses on data pipelines for content catalog data, scalable data integration, and reliable data services in high-scale environments. The engineer will collaborate with data scientists and cross-functional teams, contribute to data-infrastructure architecture, and help shape technical direction for connected TV and personalized content delivery.

Skills & qualifications

RequiredNice to have

Skills

StreamingTVOSE-Commerce Data EcosystemsApache SparkData Pipeline EngineeringLarge-Scale Data ProcessingAPI DevelopmentData IntegrationData MonitoringData ObservabilityData Storage OptimizationData Retrieval OptimizationData QualityError HandlingRecovery MechanismsLearning QuicklyProblem SolvingAdaptabilityInnovationCritical Thinking

Full job description

The Trade Desk is a global technology company and the world's leading independent platform for digital advertising, with over 3,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet - from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world's brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges - from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you're driven to solve meaningful challenges, we'd love to meet you.WHO WE ARE:We're a small, high-impact team building the next-generation TV operating system. Our flexible structure gives engineers direct influence over product direction-an opportunity rarely found in larger companies.Our innovative approach to the CTV industry optimizes the advertising supply chain, creating better outcomes for advertisers, publishers, and TV viewers alike. As part of our Ventura OS project, we're developing sophisticated backend infrastructure to power our platform, with a strong emphasis on quality at scale.We believe culture matters. We foster an environment where engineers thrive through collaboration, innovation, and continuous learning. Our teams build cutting-edge streaming technology that enables advertisers to leverage data for more relevant and effective ad experiences-while improving efficiency across the entire supply chain ecosystem.WHAT YOU'LL DO:This role is ideal for someone passionate about streaming, TVOS, or e-commerce data ecosystems, who thrives in high-scale, data-intensive environments and enjoys solving complex technical challenges. If you're looking to shape the future of personalized content delivery and consumer experiences, please read on - we'd love to hear from you!In addition to the core responsibilities of our backend engineers, you will specifically: * Be part of a nimble, innovative team where engineering drives the vision. If you're excited about building the future of CTV, we'd love to hear from you. * Design, build, and maintain data pipelines for processing content catalog data using technologies like Apache Spark for the Ventura OS project * Develop efficient data processing workflows that can handle large-scale data with optimal performance * Create robust APIs that securely expose data services to other parts of our platform * Collaborate with data scientists to integrate with their models and algorithms in production environments * Build scalable data integration solutions that connect various data sources and destinations * Implement monitoring and observability for data pipelines to ensure reliability and performance * Optimize data storage and retrieval mechanisms for our specific use cases * Contribute to architectural decisions around data infrastructure * Work closely with cross-functional teams to understand business requirements and translate them into technical solutions * Apply best practices for data engineering, including data quality checks, error handling, and recovery mechanismsWHO YOU ARE:One of the best things about being a software engineer at The Trade Desk is the variety of technical opportunities available. We don't expect you to know every technology we use from day one-what matters most is your ability to learn quickly and solve complex problems using the best tools for the job. What you know is less important than how well you adapt, innovate, and think critically.We're not looking for engineers who have all the answer

How this job compares

Set against the 41,225 open Software Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • New York median$158–225K/yr2,371 salary ranges
  • New York median$45–51/hr60 hourly ranges
Openings
Olive Jobs lists 3,051 open Software Engineer jobs in New York and 41,225 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Software Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (33,478 postings).
Education
14,294 of the 41,225 open Software Engineer jobs (35%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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