Job Description
Fire TV, Advertising and Appstore is reshaping the way millions of people discover, engage with, and enjoy entertainment every day. The FAA Decision Science organization is looking for a Data Engineer who is excited to build the data infrastructure powering analytics, experimentation, forecasting, and business decision-making for one of Amazon"s fastest-growing product families.
This is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact environment. You will contribute to foundational data systems used by Data Science, Business Intelligence, Product, Finance, Advertising, and Engineering teams to make high-quality business decisions.
You will build and operate data pipelines, data models, and data quality mechanisms supporting Fire TV engagement, lifecycle analytics, Ads monetization, Appstore performance, executive reporting, experimentation, and AI-enabled analytics. The ideal candidate has solid technical foundations, a willingness to learn, an eye for operational reliability, and the ability to work effectively with cross-functional teammates to translate requirements into working data solutions.
Key job responsibilities
Contribute to the design, development, testing, and deployment of data pipelines and datasets within a defined domain, including the data foundations for GenAI and agentic analytics, working alongside senior engineers
Build and maintain ETL/ELT workflows using SQL, Python, and AWS services
Support data infrastructure operations, including monitoring, alerting, and data quality controls
Investigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate
Partner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions
Contribute to conversational and self-service analytics data products
Support compliance, privacy, retention, and governance requirements for data you own or contribute to
Clearly document your solutions to ensure ease of use and maintainability by others
Participate in code reviews, design discussions, and team planning
Participate in on-call and product support for business-critical pipelines and datasets
Build and curate datasets and documentation that AI assisted analytics tools consume
Use AI-assisted development tools to accelerate how you build, test, and debug pipelines
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
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
Skills
- Advertisingunmatched
- Amazon Web Services (AWS)unmatched
- Architectural Servicesunmatched
- Artificial Intelligence (AI)unmatched
- Business Intelligenceunmatched
- Business Supportunmatched
- Code Reviewsunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Database Extract Transform and Load (ETL)unmatched
- Debugging Skillsunmatched
- Documentationunmatched
- Environmental Impactunmatched
- Federal Aviation Administration (FAA)unmatched
- Financeunmatched
- Forecastingunmatched
- On Callunmatched
- Operational Supportunmatched
- Performance Analysisunmatched
- Problem Solving Skillsunmatched
- Product Engineeringunmatched
- Product Supportunmatched
- Programming Toolsunmatched
- Python Programming/Scripting Languageunmatched
- Requirements Managementunmatched
- SQL (Structured Query Language)unmatched
- Television Advertisingunmatched
- Test Plan/Scheduleunmatched
- Testingunmatched
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