Job Description
Amazon"s Creator Services leads creator programs that span media, commerce, and culture. The Creator Services team includes Creator Partnerships, creator content studio Wondery, and physical production facilities Studio126. We connect creators and Amazon"s diverse businesses, helping bring big ideas to life across Wondery, Amazon Music, Twitch, Audible, Amazon Games, and beyond. Join us in making Amazon the home for creators.
We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production-ready systems that drive creator monetization at scale. Operating at the intersection of data and software engineering, you will collaborate with Business Intelligence engineers and cross-functional business stakeholders to standardize and curate datasets that underpin AI-driven initiatives and self-service analytics capabilities. You will also design and build internal tools and software that automate workflows, improve data accessibility, and accelerate creator monetization outcomes. This role sits within the Creator Services data and tech team, and also supports the Creator Ad Partnerships team.
Key job responsibilities
- Design, build, and maintain production-grade ETL/ELT pipelines that process data at scale with high reliability and performance
- Architect and curate data models, warehouses, and dimensional schemas that serve as the foundation for self-service analytics and AI initiatives
- Drive end-to-end technical ownership of data platform components - from system design and architecture reviews to deployment, monitoring, and incident response
- Leverage AWS services - including Redshift, S3, Glue, Lambda, ECS, DynamoDB, and Bedrock - to build scalable and cost-efficient data platforms
- Partner with BI engineers, program managers, and business stakeholders to translate data needs into technical solutions, while advocating for data engineering best practices across the team
Numbers & Facts
| Location | Culver City, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
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Skills
- AWS Lambdaunmatched
- Amazon Simple Storage Service (S3)unmatched
- Amazon Web Services (AWS)unmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Business Intelligenceunmatched
- Cross-Functionalunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Setsunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- High Reliabilityunmatched
- Incident Responseunmatched
- Musicunmatched
- Production Systemsunmatched
- Project/Program Managementunmatched
- Scalable System Developmentunmatched
- Software Engineeringunmatched
- System Architectureunmatched
- Technical Supportunmatched
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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