Staff Backend Engineer — Scale Global Data Pipelines

Thetradedesk; Bellevue (WA); Hybrid; USD 206,000 - 302,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401k with company match

Stock purchase plan

Paid time off

Paid holidays

Job summary

The Trade Desk seeks a Staff Software Engineer in Bellevue to design, build, and optimize scalable backend data pipelines and APIs for massive datasets. You will work with distributed data processing, ensure data quality, and collaborate with data scientists to deploy models into production.

Bring 5+ years in software development with Python/Java/Scala, cloud platforms (AWS/GCP/Azure), and experience in large-scale distributed systems.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, or related field and 5 years of experience in relevant roles.

Responsibilities

• 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 for ingesting, transforming, and aggregating large-scale datasets with high 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 feature engineering and model-serving pipelines.
• Implement monitoring, alerting, and observability frameworks for data pipelines to ensure reliability 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, translate business requirements into technical solutions, and apply data engineering best practices.

Skills

Python

Java

Scala

Spark

RESTful APIs

Distributed systems

AWS

GCP

Azure

Data pipelines

Education

Bachelor's degree in IT/CS or related field

Tools

AWS

GCP

Azure

Job description

The Trade Desk seeks a Staff Software Engineer in Bellevue to design, build, and optimize scalable backend data pipelines and APIs for massive datasets. You will work with distributed data processing, ensure data quality, and collaborate with data scientists to deploy models into production.

Bring 5+ years in software development with Python/Java/Scala, cloud platforms (AWS/GCP/Azure), and experience in large-scale distributed systems.