Embed directly with product development teams to understand real business problems and work out the right way to solve them with AI, building and shipping production AI applications.
Responsibilities
Embed directly with product teams to understand their business flows and work out where AI genuinely helps
Lead technical discovery to separate bottlenecks from symptoms
Help teams design and build AI-first applications on top of existing services
Gather and document requirements for new services
Build and operate data pipelines, model training and serving, and MLOps tooling
Are you passionate about building data infrastructure that delivers real business value at massive scale? As a Data Engineer at Amazon, you will design, build, and optimize data pipelines and architectures that transform raw data into actionable insights.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
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, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines and data infrastructure
Create coherent logical and physical data models that accurately represent business requirements
Develop and optimize SQL queries and scripts to extract, transform, and manipulate large-scale datasets
Collaborate with analysts, scientists, software engineers, and business stakeholders to translate requirements into well-architected data solutions
Identify opportunities to improve existing data processes, including automating manual operations, enhancing data discoverability, and applying generative AI tools
Requirements
Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
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)
