The Trade Desk
Staff Software Engineer, VenturaOS - Back-End/Pipeline
Bellevue · Staff+ · Full-time
Sponsorship not specified$137k-$252kDetected 6 days ago
PythonJavaScalaDistributed SystemsAlgorithmsNoSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsKafkaMachine LearningSparkData EngineeringMLOpsAccessibilitySupply ChainCollaborationMentoring
Stay score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role82
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$111,6131 entry
Level II$143,1042 entries
Level III$174,5953 entries
Level IV$206,0864 entries
$5,804 more — $143,104 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $143,104 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Seattle-Tacoma-Bellevue, WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 56%
Of 9 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 515 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
9 transfer filings in the last year, covering 9 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
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About the role
- 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.
- When you work here, your impact is worldwide.
Responsibilities
- 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
- By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide.
- 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.
- We're a small, high-impact team building the next-generation TV operating system.
Requirements
- 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.
- Extensive experience with data warehousing solutions like Vertica, Snowflake, or Databricks to support large-scale data operations.
- Strong knowledge of data governance and data quality frameworks to ensure accuracy, consistency, and compliance in data pipelines.
- Expertise in content metadata processing and management, ideally within a streaming, TVOS, or e-commerce environment.
- Familiarity with entertainment catalog systems, taxonomy structures, and content discovery workflows.
- Strong ability to communicate effectively across technical and non-technical stakeholders, ensuring alignment on data strategies and priorities.
- Deep experience with distributed systems and data processing frameworks, working with large-scale datasets in a high-traffic environment.
- Proficiency in one or more programming languages such as Java, Scala, or Python for building and maintaining robust data pipelines.
- Strong expertise in big data technologies such as Apache Spark, Kafka, and other scalable data processing tools.
- Hands-on experience with machine learning pipelines and MLOps, particularly in personalization, content recommendations, ad-tech solutions, or e-commerce optimization within streaming or TVOS platforms.
- Prior work on recommendation systems or search technologies, enhancing user experiences through AI-driven content surfacing.
- A solid foundation in computer science and engineering fundamentals, enabling you to design scalable, high-performance systems.
- Proven ability to lead and complete projects with high levels of technical ambiguity while mentoring and contributing to the growth of peers.
Compensation
- In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role.
Benefits
- Be part of a nimble, innovative team where engineering drives the vision.
- Our flexible structure gives engineers direct influence over product direction-an opportunity rarely found in larger companies.
- We foster an environment where engineers thrive through collaboration, innovation, and continuous learning.
Company info
- 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.
- 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.
- 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.
- 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.
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This listing is sourced directly from The Trade Desk's careers page and normalized into a canonical job model.