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Staff Software Engineer

The Trade Desk

Denver, CO · HybridJob$206–302K/yrSeen 5 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$206–302K/yr
Location
Denver, COHybrid
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Staff Software Engineer will design and maintain scalable backend data pipelines and services for large-scale content catalog and metadata. The role includes building data integrations, secure RESTful APIs, and production workflows, collaborating with data scientists and machine learning engineers, and contributing to backend and data infrastructure architecture. The position is based near the Bellevue office, with telecommuting permitted within normal commuting distance.

Skills & qualifications

RequiredNice to have

Skills

PythonJavaScalaCloud PlatformsDistributed SystemsData PipelinesApache SparkRESTful APIsBackend ServicesRelational DatabasesNoSQL DatabasesData ModelingQuery Optimization

Qualifications

Bachelor's in Information Technology, Computer Engineering or Related FieldFive Years' ExperienceThree Years' Software Development ExperienceThree Years' Cloud Services ExperienceThree Years' Distributed Systems ExperienceTwo Years' Data Pipeline ExperienceTwo Years' RESTful API ExperienceTwo Years' Database ExperienceTwo Years' Data Modeling and Query Optimization Experience

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 We embrace inclusion and belonging in everything we do --- from celebrating the diversity of our workforce to making a positive impact on our industry.https://careers.thetradedesk.com/inclusion-and-belonging Apply at: https://ipc.us/t/8511AF4A565345C9.

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