Sr Business Intelligence Engineer III, Rapid and Rural Logistics

Amazon; Arlington (VA); On-site; USD 130,000 - 176,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

Job summary

Amazon's Rapid and Rural Logistics (R2L) team is looking for a Senior BI Engineer to own and evolve a portfolio of reporting solutions, Airflow-driven data pipelines, and data products that directly impact operational quality and efficiency. You will partner with stakeholders across quality, supply chain, and software to turn complex operations problems into automated, self-service analytics.

The role emphasizes data architecture, dashboard development (QuickSight), and SQL/ETL proficiency, with

Qualifications

• 5+ years of professional or military experience.
• 5+ years of using SQL, ETL, or Oracle.
• 1+ years of processing large, multi-source datasets from multiple sources.
• 1+ years of performing statistical analysis experience.
• 1+ years of developing automated reporting experience.

Responsibilities

• 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 Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day).
• Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms and headcount targeting models.
• 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 with LPE program teams to translate requirements into scalable analytical solutions.
• Integration Across Data Sources — Join and transform data from KNET, Formulate, QE, Umbrella, Qualtrics, and LATIS into unified views.

Skills

SQL

ETL

Oracle

Python

AWS

Education

Bachelor's degree or foreign equivalent in statistics, data science, or an equivalent quantitative field

Tools

Airflow

QuickSight

Job description

Sr Business Intelligence Engineer III, Rapid and Rural Logistics

Job ID: 10531756 | Amazon.com Services LLC

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.

Key job responsibilities

• 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 Airflow DAGs that refresh dashboards on intraday schedules (up to 4x/day), ensuring data freshness and reliability for operational decision-making
• Algorithm & Data Product Development — Develop and maintain data products such as ranking algorithms (LSXT UTR), labor allocation optimization, and dynamic headcount targeting models that feed directly into operational tools
• 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 LPE program teams to translate business requirements into scalable analytical solutions, supporting programs like Ambassador Scorecard, Associate Training Violations, and Roles Management
• Integration Across Data Sources — Join and transform data from KNET, Formulate, QE (Qualification Engine), Umbrella, Qualtrics, and LATIS into unified analytical views

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale,

About the team

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.

Basic Qualifications

• 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.

Preferred Qualifications

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Bachelor's degree or foreign equivalent in statistics, data science, or an equivalent quantitative field

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually