BI Engineer I, AWS DC Global Network Delivery

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 82,000 - 144,000

Full time

9 hours ago

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Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC in Seattle is seeking a Business Intelligence Engineer to build datasets, metrics, and dashboards that drive infrastructure delivery decisions. You will collaborate with BI engineers, data engineers, and business partners to translate questions into reliable, well-documented data.

You'll work on high-impact problems, learn AWS data tools, and grow through code reviews and mentorship from experienced engineers.

Qualifications

2+ years of data analysis and interpretation experience with data warehouse tools.
Experience visualizing data using Tableau or QuickSight.
Familiarity with statistical methods and data modeling.

Responsibilities

Gather requirements from stakeholders and translate into reports and dashboards.
Build and maintain datasets, ETL pipelines, and dashboards with SQL, Python, and AWS tools.
Follow standards for code reviews, data quality, and documentation.
Run data quality checks and investigate data issues to identify root causes.
Analyze data to answer business questions and clearly explain findings.
Identify gaps in source data and ensure consistency with data contracts.
Experiment with AI tools to speed up analysis and insights.
Learn from reviews and share knowledge with the team.

Skills

Data analysis

Redshift

Tableau

QuickSight

Python

SQL

Education

Master's degree or Advanced technical degree

Tools

SQL

ETL

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.

Description

You'll join a diverse, cross-functional team of Product managers, TIPMs, network engineers, planners, builders, and operations leaders around the world. Together we work across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. Our culture is inclusive, welcomes new ideas, and gives you room to own your work from start to finish.

We're looking for a Business Intelligence Engineer who is curious, learns quickly, and wants to grow by working on real, high-impact problems. You'll build the datasets, metrics, and dashboards that show how infrastructure delivery is performing, from intake through deployment to decommission. You'll work alongside senior BI Engineers, Data Engineers, and business partners to turn business questions into reliable, well-documented data.

What makes this role exciting? Your work won't sit unused. The datasets and dashboards you build will be used every week by planners, operators, and leaders to track delivery milestones and decide what to do next. You'll learn how a global infrastructure business runs, get hands‑on with AWS data tools and AI‑assisted analytics, and grow your skills through code reviews and mentorship from experienced engineers.

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

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

Company

- Amazon.com Services LLC

Job ID: A10577876

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