You will design and implement platform features, curated datasets that power self-service analytics and intelligent automation. Your work will include:
• Using AI agents to write and optimize code
• Building AI-powered platforms that serve ML models
• Deploying intelligent agents that democratize data access
What Makes This Role Unique
This is an opportunity to work at the forefront of AI-powered data engineering, where you'll not only leverage AI tools but build the next generation of AI-enabled data platforms. You'll have the autonomy to own projects end-to-end while helping shape the future of automotive shopping experiences on Amazon.
Key job responsibilities
Platform Development & AI Integration
• Build and maintain efficient, scalable data pipelines and curated datasets optimized for AI/ML consumption
• Implement systems for automated data classification to transform business problems into analytical solutions
• Develop AI-native self-service data platforms using an AI-first methodology
• Create AI-powered platforms with natural language interfaces for data access
Stakeholder Engagement & Delivery
• Serve as a technical partner to business stakeholders, data science teams, and cross-functional partners
• Deliver well-modeled, discoverable data optimized for specific use cases
• Design and build curated datasets using AI code generation and Agentic AI tools
• Communicate insights and recommendations to product, business, and technology partners
Technical Leadership
• Architect and scale services based on program vision
• Recommend optimal strategies for quantifiable business impact
• Break down complex challenges into manageable projects
• Make pragmatic decisions to reduce risk
• Lead AI-augmented workshops for stakeholders
Day-to-Day Activities
• Design and build curated datasets using AI code generation tools
• Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools
• Implement and enhance AI-powered self-service platforms
• Create and maintain intelligent governance systems
A day in the life
• Design and build curated datasets using AI code generation tools
• Build and maintain data pipelines using Amazon Web Services (AWS) and internal Amazon tools
• Implement and enhance AI-powered self-service platforms
• Create and maintain intelligent governance systems
About the team
Amazon Autos transforms automotive shopping experiences. You will build a data platform for Reporting & Analytics, working with product managers, designers, and engineers to create automotive shopping experiences that delight customers.
This role is part of the Amazon Autos Reporting & Analytics tech team. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.
Basic qualifications
- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- 4+ years of data engineering experience
Preferred qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses
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.