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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer , TOM Central Program - Data Infra Team - **Company:** Amazon.com, Inc. - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $99,500.0 - $160,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Elastic Compute Cloud, Amazon S3, Business Analytics Applications, Data Analysis, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Amazon DynamoDB, Python (Programming Language), NoSQL, Oracle (Applications), SQL Databases, Tableau (Software), Data Processing, Scripting, Data Pipelines, Amazon Redshift - **Published:** July 3, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10465233/business-intelligence-engineer-tom-central-program-data-infra-team ## About the Role 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 2+ years of developing automated reporting experience - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets ## Description Are you passionate about diving deep into data and engineering scalable metrics that drive continuous improvement across Amazon's global delivery operations? Do you excel at solving complex problems using data-driven insights and building solutions that scale with growing worldwide demand? Are you excited to build AI-ready data infrastructure and drive AI-enabled insights that power smarter, faster decision-making across Amazon Transportation? If so, the Transportation Operations Management (TOM) Central Program Data Infrastructure team is the place for you. We are building the world's fastest, most reliable, and lowest-cost transportation network-giving customers greater control and visibility-and we are looking for a top-notch Senior Business Intelligence Engineer to help lead this mission. As a Business Intelligence Engineer, you operate within one of the world's most complex data environments, owning the design and evolution of scalable, high-impact, and AI-ready data infrastructure. You bring deep expertise in data modeling and large-scale dataset design, building reliable, well-governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI-enabled insights that improve TOM Operations efficiency, automation, and decision-making. You lead the development of robust, scalable, and cost-efficient data pipelines, ensuring high data quality, accessibility, and operational excellence across the end-to-end data lifecycle. You continuously evolve data systems to better support AI-driven analytics and insight generation, enabling faster and smarter business decisions. Above all, you are passionate about transforming data into intelligence-driving AI-enabled insights that power operational excellence and data-informed decisions across the organization., Own and build scalable, automated reporting and analytics solutions, enabling self-service insights across TOM Operations. - Develop AI-ready data models and datasets, driving AI-enabled insights to improve operational efficiency and decision-making. - Partner with business and technical stakeholders to translate ambiguous problems into data-driven solutions and influence strategy. - Design and optimize robust, cost-efficient data pipelines and metrics frameworks, ensuring data quality and reliability. - Build and evolve business-critical dashboards and KPIs, raising the bar on insight quality and usability. - Drive process simplification and automation, including leveraging AI to accelerate insight generation and reduce manual effort. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [JavaScript? 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