Description
We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos. You'll be a key contributor to the data platform that drives smarter decision-making for thousands of dealers and partners spanning multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will own and deliver major components of the platform that provides this intelligence at scale. We are looking for a software engineer who writes high-quality code, independently designs and builds complex components, and contributes to the technical direction of the team. You will work at the intersection of data engineering, AI/ML, and product - owning the design and delivery of key features from concept to production.
What You Will Build
* Data platform components that serve ML models and surface predictive insights to dealers and partners
* Features within intelligent agent systems that enable non-technical stakeholders to query and act on complex datasets
* Scalable data pipelines that process massive volumes of transactional, behavioral, and market data
* API integrations that transform raw signals into insights directly influencing revenue streams
What Makes This Role Unique
This is a rare greenfield opportunity to be part of building a platform that will serve as the data backbone for Amazon Autos seller and partner ecosystem. You will work with AI-powered tools and contribute to the next generation of AI-enabled data platforms, within a team that has already driven AI adoption to over 90% among its software builders.
Key job responsibilities
Component Design & Ownership: Design, build, and own major components of the data platform - including data ingestion modules, transformation pipelines, API endpoints, and front-end consumption layers.
High-Quality Code: Autonomously produce high-quality, testable, and maintainable code. Participate in code reviews, contribute to coding standards, and champion engineering best practices within the team.
Data Pipeline Development: Implement and optimize ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage.
System Design: Contribute to system design discussions, identify trade-offs, and propose solutions for complex technical problems within the team's domain.
Cross-Team Collaboration: Partner with engineering, product, data science, and partner teams to deliver on shared goals and integrate your components into the broader platform architecture.
API Development: Build and maintain APIs for external partner integrations - enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds.
Operational Excellence: Own the operational health of your components - build monitoring, alerting, and participate in on-call rotations and incident response.
Peer Mentorship: Support the growth of teammates through code reviews, design feedback, and onboarding new team members.
Delivery Excellence: Work within an agile team to deliver software features and improvements end-to-end - from requirements clarification through deployment.
A day in the life
Your day balances hands-on coding of data pipeline and API components, collaborating with partner teams on requirements, reviewing teammates code, and iterating on designs with senior engineer guidance directly contributing to the platform hundreds of OEMS and dealer groups rely on.
About the team
We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations. This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience, or Bachelor's degree or above in computer science or equivalent
- 3+ years of programming with at least one software programming language experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree or above in computer science or equivalent
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
- Experience building services using AWS products
- Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience troubleshooting and debugging technical systems and experience that includes strong analytical skills, attention to detail, and effective communication abilities
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 https://amazon.jobs/en/benefits.
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
