Amazon Payment Products
Software Development, Data Engineering, consumerpayments
DataEngineerI
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Engineer I at Amazon Payment Products. Skills: Data Engineering, ETL, Data Pipelines, AWS Infrastructure. Design logical data models. Build logical data models”
Industry & Context.
Resolve root causes; Troubleshooting
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with SQL, Experience with Python
Nice to Have
Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience with Informatica, Experience with ODI, Experience with SSIS, Experience with BODI, Experience with Datastage
What You'll Do.
Design logical data models
Build logical data models
Optimize logical data models
Design data pipelines
Optimize data pipelines
Create self-service access
Work on data architecture
Design data solutions
Write maintainable code
Optimize resource usage
Participate in code reviews
Participate in design discussions
Participate in team planning
Balance customer requirements
Stay current on technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Code reviews; Design discussions; Team planning
Full Job Description
Join the Amazon Payments Products - Data Engineering team and help us build the cutting-edge data infrastructure that drives Amazon's Payment Programs. Our team delivers data-driven solutions that impact millions of customers across Amazon's payment ecosystem. We're a high-performing team that consistently delivers while maintaining zero-defect standards through rigorous engineering practices. We're at the forefront of AI-first transformation, implementing cutting-edge automation solutions and next-generation data architectures that drive measurable productivity gains. Our work spans above and beyond the critical business areas such as customer acquisition, fraud detection, product recommendations, financial and executive reporting. As a Data Engineer I, you'll work on high-impact projects (targeting millions of customers), large-scale customer acquisition initiatives, and fraud detection platforms. You'll collaborate with Product Managers, Data Scientists, Business Intelligence Engineers, UX Designers, Software Development Engineers, GMs, and other cross-functional engineering teams to solve complex data challenges at massive scale while driving innovation through AI-powered automation. Key job responsibilities Design, build, and optimize logical data models and data pipelines for complex datasets Own ongoing data quality and create self-service access to datasets for business intelligence Work on major portions of existing or new data architecture within the team Collaborate with Software Development Engineers and other Data Engineers to design stable, performant data solutions Write secure, stable, testable, and maintainable code with minimal defects Apply appropriate data design approaches and make judicious trade-offs without over-engineering Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure Participate actively in code reviews, design discussions, and team planning Mentor and train junior team members a
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