---
title: Data Engineer II, Key at Amazon in Bellevue, WA
description: Amazon is hiring for the Data Engineer II, Key role in Bellevue, WA. Pays $132.1K–$178.8K
  per year. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/data-engineer-ii-key-at-amazon-01a0f4c0-9d8b-7bba-aaaf-d1e933fca005
date: 2026-10-01T02:38:40Z
og_description: Join Amazon as Data Engineer II, Key in Bellevue, WA. Pays $132.1K–$178.8K per
  year. Full-time role. Requires 3+ years of experience.
og_image: https://www.foundrole.com/og/5zh04i.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) |
| **Location** | Bellevue, WA |
| **Salary** | $132.1K/yr - $178.8K/yr |
| **Type** | Full Time |
| **Posted** | Sep 30, 2026 |
## Description

We are actively seeking a motivated and multi-talented individual who is passionate, highly autonomous and have deep expertise in the design, creation, and management of large and complex datasets. You should be an authority at crafting, implementing, and operating stable, scalable solutions to flow huge amounts of data from production systems into the Redshift cluster, and build complex transforms to compute and store new data developed by the software teams.  

Key job responsibilities  
• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.  
• Develop and manage ETLs to source data from various commercial, sales and operational systems and create unified data model for analytics and reporting.  
• Use business intelligence and visualization software (e.g., QuickSight.) to develop dashboards those are used by senior leadership.  
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.  
• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.  
• Work with Product Managers, Engineering, BI Teams on day-to-day basis to support their new analytics requirements.  
• Manage numerous requests concurrently and strategically, prioritizing when necessary  
• Partner/collaborate across teams/roles to deliver results.  
• Mentor other engineers, influence positively team culture, and help grow the team.  

About the team  
Amazon Key team’s mission is to provide Amazon with 1-click access to every customer's doorstep. We are inventing the next-generation smart delivery operation technologies in IoT (Internet-of-Things). We develop technology-based solutions matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale.

## Basic Qualifications

- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent  
- 3+ years of data engineering experience  
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience  
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience  
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

## Preferred Qualifications

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent  
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)  
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence  
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience using strong customer service, communication, and interpersonal skills  

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, TX, Austin - 132,100.00 - 178,800.00 USD annually  
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
## Skills

- Graph Database
- Influencing
- Amazon Web Services
- Analytics
- Coding Standards
- Amazon Kinesis
- Analytical Skills
- Extract Transform Load (Etl)
- Code Review
- Object Storage
- Python
- Amazon S3
- Visualization
- Microsoft Business Intelligence BI
- Amazon Redshift
- Interpersonal Skills
- Relational Databases
- Big Data
- Apache Spark
- Statistics
- Software Development Life Cycle
- Mathematics
- Amazon Athena
- Identity And Access Management
- AWS Glue
- Attention to Detail
- Business Intelligence
- Leadership
- Scala
- Amazon QuickSight
- Data Modeling
- Computer Science
- Version Control
- Operational Excellence
- Data Engineering
- Communication
- Data Lakes
- AWS Lake Formation
- Databases
- Internet Of Things (IoT)
- Electronic Medical Record
- AWS Lambda
- Sales
- Customer Service
- Data Warehousing
## Benefits

- Mental Health
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Parental Leave
- Paid Time Off (Pto)
- 401(k) Plans
- Employee Stock Options (ESOs)

## How to Apply

[Apply for this position](https://www.foundrole.com/jobs/data-engineer-ii-key-at-amazon-01a0f4c0-9d8b-7bba-aaaf-d1e933fca005?utm_source=ai_markdown)

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