Amazon · 18 hours ago
Data Engineer II, Amazon Leo Commerce
Redmond, Washington, USA
Full-time
Onsite
Mid Level
$132K/yr - $179K/yr
3+ years expAmazon is a leading technology company focused on increasing global broadband access through its Leo initiative. The Data Engineer II role involves collaborating with teams to develop data-driven systems, building e-Commerce functions on AWS, and maintaining data infrastructure to improve decision-making and performance.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
No H1B
U.S. Citizen Only
Responsibilities
Collaborate with cross-functional and cross-organizational teams to understand business needs, design & develop critical data-driven systems, and provide solutions to enable better decision making
Work on initiatives building e-Commerce functions on AWS infrastructure and help implement best practices for software development
Help engineers and build solutions which are required for provisioning and operating an Internet service providers
Define and track key metrics and performance indicators to monitor performance and drive continuous improvement across Leo Commerce
Build and maintain data infrastructure in collaboration with DEs, focusing on improving data quality and availability
Execute analytical approaches to uncover new insights and share recommendations that improve productivity
Design and build robust, self-service reporting solutions that scale across the organization
Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs
Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations
Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices
Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration
Qualification
Required
3+ years of data engineering experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
Experience with data modeling, warehousing and building ETL pipelines
Preferred
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-22
2026-01-22
2026-01-22
Company data provided by crunchbase