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# Staff Software Engineer

- **Company:** The Trade Desk
- **Location:** Ventura, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $206,086.0 - $302,200.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Computer Engineering, Data as a Services, Data Infrastructure, Data Integration, Relational Databases, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Software Architecture, DataOps, Software Engineering, Data Storage Management, Feature Engineering, System Availability, Database Optimization, Apache Spark, Backend, Information Technology, Restful APIs, Data Pipelines
- **Published:** August 20, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18006815?backUrl=%2Fcareer%2F18006815%2FStaff-Software-Engineer-California-Ventura

## About the Role

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.

## Description

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.


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