Data Engineer II , NA Stores Expansion
Seattle, OR - USA
Department:
Job Summary
The ideal candidate will have good leadership skills proven ability to develop enhance automate and manage analytics models and data pipelines. The candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements. The ideal candidate will have a proven ability to work with Applied Scientists Data Scientists Software Development Engineers Product Managers and Business Partners to solve challenging analytical problems. The candidate must be comfortable using intellect curiosity and technical ability to develop innovative solutions to business problems. The position requires ability to learn different aspects of the business and understand how to apply advanced analytics to solve high impact problems.
A qualified candidate must have demonstrated ability to manage medium and large scale automation and modeling projects identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with leadership. The person in this role will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.
Key job responsibilities
Design develop and maintain scalable data models ETL/ELT processes and ML pipelines using AWS services (S3 Redshift Glue Athena Lake Formation)
Analyze business data to optimize key processes in Retail and Supply Chain domains
Collaborate with cross-functional teams (Scientists Engineers Program Managers) to deliver data solutions and implement predictive models
Implement and maintain CI/CD pipelines while ensuring data governance security and compliance standards
Monitor optimize and enhance data infrastructure to support analytics and machine learning
Stay current with emerging technologies and mentor junior engineers in data engineering and MLOps best practices
- Experience with data modeling warehousing and building ETL pipelines
- 3 years of data engineering experience
- Bachelors degree
- 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)
- Usage of generative AI tools to enhance workflow efficiency with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products workflows or customer experiences.
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 132100.00 - 178800.00 USD annually
Required Experience:
IC
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