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About the Role
The Prime Member Experience organization leads Research & Development for Amazon Prime, a program serving over 300 million members globally. This role is key to Amazon's customer growth and engagement, building algorithms and systems for automated marketing, personalization, targeting, and decisioning using AI and Economics. You will work with world-class scientists to build automated, scalable, and robust products driven by data systems.
Responsibilities
- Build and maintain big data pipelines for machine learning applications at Amazon scale, ensuring stability and performance across terabyte-sized datasets.
- Advance data engineering infrastructure using tools such as AWS Glue, Spark, Amazon EMR, and EMR Serverless to support science and analytics workloads.
- Design and implement proactive data quality monitoring and alerting (e.g., anomaly detection) across production pipelines to safeguard downstream models.
- Collaborate with scientists and analysts to create coherent data models and analysis-ready datasets that improve the customer experience for over 300 million members worldwide.
- Evaluate and integrate generative AI tools where appropriate to automate data workflows and improve team productivity.
Requirements
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets.
- 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 in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
Skills
- AWS Glue
- Spark
- Amazon EMR
- EMR Serverless
- Python
- Java
- Scala
- NodeJS
- Redshift
- S3
- Kinesis
- FireHose
- Lambda
- IAM roles and permissions
- Non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Location
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 3+ years of data engineering experience
Salary/Compensations
- 132,100.00 - 178,800.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
About the Company
- Amazon Prime's Member Experience organization leads Research & Development for Amazon Prime.
- The program serves over 300 million members across 25 countries and is key to Amazon's customer growth and engagement.
- We build algorithms and systems for automated marketing, personalization, targeting, and decisioning using Artificial Intelligence and Economics.
- Within the engineering group, we develop world-class solutions to complex scientific and engineering problems at Amazon scale.
- The Prime Member Experience engineering team sits at the intersection of large-scale engineering systems and applied science, econometrics, machine learning, and AI delivering applications that reach over 300 million customers.
- Our team includes data engineers, software engineers, and scientists who partner closely to build and operate real-time science products.
- We are focused on enabling Prime Science adoption worldwide across Amazon, and the growing complexity of our real-time data products creates data engineering challenges that give you hands-on experience with problems the broader industry will face in the years ahead.
Equal Opportunity
- 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.