> Markdown version of [/jobs/ext/4087871-senior-business-intelligence-engineer-iii-rapid-and-rural-logistics](https://www.wearedevelopers.com/jobs/ext/4087871-senior-business-intelligence-engineer-iii-rapid-and-rural-logistics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Business Intelligence Engineer III, Rapid and Rural Logistics - **Company:** Amazon.com, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $130,400.0 - $194,000.0 - **Contract:** Temporary contract - **Skills:** Airflow, Data Analysis, Computer Programming, Data Architecture, Data Files, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Oracle (Applications), SQL Databases, Scripting, Sql Optimization, Data Pipelines - **Published:** October 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f05ffb4285ea6c66 ## About the Role * 5+ years of professional or military experience * 1+ years of processing large, multi-dimensional datasets from multiple sources experience * 1+ years of performing statistical analysis experience * 1+ years of developing automated reporting experience * 5+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience * Experience programming to extract, transform and clean large (multi-TB) data sets * Experience with AWS technologies * Experience in scripting for automation (e.g. Python) and advanced SQL skills. * Bachelor's degree or foreign equivalent in statistics, data science, or an equivalent quantitative field PREFERRED QUALIFICATIONS * Experience working directly with business stakeholders to translate between data and business needs * Experience managing, analyzing and communicating results to senior leadership ## Description We are looking for a Senior Business Intelligence Engineer to own and evolve our portfolio of reporting solutions, Airflow-orchestrated data pipelines, and algorithmic data products. You'll partner with stakeholders across quality, supply chain, and software teams to translate operations problems into automated, self-service analytics that directly impact quality and efficiency., * Data architecture design - determine the right data foundations necessary to solve team-wide business problems * Team development - operate as a team-wide resource for BI best practices and cross-team productivity improvements * Dashboard Development & Maintenance - Design, build, and maintain QuickSight dashboards across domains * Data Pipeline Engineering - Build and optimize ETLs, ensuring data freshness and reliability for operational decision-making * Algorithm & Data Product Development - Develop and maintain data products such as ranking algorithms and root cause assessment * Metric Onboarding - Onboard and maintain metrics in platforms like Perfect Mile for SSD buildings * Data Quality & Monitoring - Own pipeline health monitoring, alerting, and incident response for Sev 3 production dashboards * Stakeholder Partnership - Work directly with program teams to translate business requirements into scalable analytical solutions, R2L is a consolidated organization within Amazon that was established in 2023 and is comprised of multiple high growth operational businesses, including Sub Same Day - Fulfillment Centers (SSD-FC), Sub Same Day - Distribution Centers (SSD-DC), and corporate and technical support branches. R2L owns the end-to-end customer fulfillment aspects of these businesses, including supply chain planning, distribution, central programs, delivery, technology, and central operations. The goal of R2L is to improve speed and customer experience, making it one of the most prominent growth engines for Amazon, with SSD-FC and RSR poised to grow by over 2X in the next 3 years. R2L currently operates in North America (US). R2L Analytics team is responsible for providing Data Infrastructure and supporting Reporting & Analytics for R2L organization.