BI Engineer I, AWS DC Global Network Delivery

Amazon Web Services (AWS); Seattle (WA); On-site; USD 82,000 - 144,000; Full time

Job summary

AWS Global Network Delivery Services in Seattle is seeking BI Engineers and Data Engineers who turn operational data into decision-ready dashboards. You will design data models, build reliable pipelines, and deliver self-service analytics for hundreds of teams.

You will collaborate with business stakeholders to gather requirements, implement dashboards using SQL, Python, Redshift, S3, and QuickSight, and ensure data quality.

Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Responsibilities

• Gather requirements for reporting and analysis, translate into queries, data models, and dashboards
• Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight
• Follow team standards for code reviews, data quality checks, documentation, and monitoring
• Run pipeline health checks, investigate data issues, and find the root cause
• Analyze data to answer business questions and clearly explain findings to stakeholders
• Use data contracts consistently and identify gaps or inconsistencies in source data
• Try out AI tools and new approaches to speed up analysis
• Keep learning from code reviews and share knowledge with the team

Skills

Data analysis

SQL & Python

Data visualization tools

Scripting languages

Education

Master's degree in a relevant field

Advanced technical degree

Tools

Redshift

S3

QuickSight

Job description

Description

AWS Global Network Delivery Services keeps the cloud running. We deliver and operate all AWS global infrastructure: every data center, every server, and every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems in the world, with thousands of variables in play, and we're looking for people who want to help solve them.

AWS Global Network Delivery Services keeps the cloud running. We deliver and operate all AWS global infrastructure: every data center, every server, and every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We work on some of the hardest supply chain and infrastructure problems in the world, with thousands of variables in play, and we're looking for people who want to help solve them.

Key job responsibilities

• Work with business stakeholders, TIPMs, and senior team members to gather requirements for well-defined reporting and analysis needs, then translate them into queries, data models, and dashboards.
• Build and maintain datasets, ETL pipelines, and dashboards using SQL, Python, and AWS tools such as Redshift, S3, and QuickSight
• Follow team standards for code reviews, data quality checks, documentation, and monitoring so your work is reliable and reusable
• Run pipeline health checks, investigate data issues, and find the root cause, escalating to the right owners when needed
• Analyze data to answer business questions and clearly explain what you found, including caveats, to stakeholders and your team
• Use metric definitions and the team's data contracts consistently, and point out gaps or inconsistencies you find in source data
• Try out AI tools and new approaches that make analysis faster or more insightful
• Keep learning from code reviews, feedback, and senior teammates, and share what you learn with the team.

A day in the life

Your morning starts with dashboard pipeline health checks and a look at new intake requests. Then you dig into your current project: learning the source data, asking what decision a metric will support, and confirming requirements with your stakeholder before you write code. In the afternoon, you might build or update a dataset, refactor part of a legacy pipeline with guidance from a senior engineer, or walk a stakeholder through a draft dashboard. You finish the day by documenting what you learned and submitting your code for review. You'll be expected to understand a problem before building, and to be open about what you're unsure of.

About The Team

We’re the PAX Data and Analytics team, a small group of BI Engineers and Data Engineers inside one of the world's largest and fastest-growing data center organizations. We started less than a year ago with one mandate: turn operational complexity into decision-ready clarity.

We do more than build dashboards. We build context that helps leaders act with confidence and helps operators catch problems before they become incidents. Our work covers the full data lifecycle: sourcing raw operational data, building reliable pipelines, and delivering self-service tools that hundreds of people use every day. Every pipeline we ship and every standard we define becomes the foundation for what comes next. We're young, we're scrappy, and we're building something that will outlast us. It's a great place to learn and grow your career.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, VA, Herndon - 82,300.00 - 144,000.00 USD annually

USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10577876