Senior BI Engineer: Build Data Pipelines & Dashboards

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

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