Amazon.com Services LLC
Data Science, Data Engineering, customer service
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Amazon.com Services LLC. Skills: Data engineering, AI/ML infrastructure, LLM features. Design automated user-friendly systems. Develop automated user-friendly systems”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
5+ years data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience in scripting language, Experience in programming language, Experience mentoring team members
Nice to Have
Experience with big data technologies, Experience operating large data warehouses
What You'll Do.
Design automated user-friendly systems
Develop automated user-friendly systems
Maintain automated user-friendly systems
Design automated user-friendly reports
Develop automated user-friendly reports
Maintain automated user-friendly reports
Design automated user-friendly dashboards
Develop automated user-friendly dashboards
Maintain automated user-friendly dashboards
Partner with operations teams
Consult with operations teams
Develop with operations teams
Implement with operations teams
Consult with ML teams
Develop with ML teams
Implement with ML teams
Build data infrastructure for AI agent systems
Maintain data infrastructure for AI agent systems
Design data architectures for agentic workflows
Develop observability pipelines for LLM features
Develop evaluation pipelines for LLM features
Apply analytic skill to extract insights
Extract learnings from data sets
Serve as liaison with business teams
Serve as liaison with technical teams
Communicate recommendations
Stay current with AI/ML data infrastructure advances
Evaluate applicability of advances
How You'll Work.
Team & Collaboration
Partner with Software Developers; Partner with Research Scientists; Partner with BI Engineers; Partner with Program Managers; Partner with Product Managers; Collaborate with product owners; Partner with operations teams; Partner with business teams; Partner with economist teams; Partner with ML teams; Serve as liaison with business teams; Serve as liaison with technical teams
Communication Scope
Communicate insights; Communicate recommendations
Full Job Description
How often have you had an opportunity to be a member of a team that is tasked with solving customer needs through disruptive and innovative technology? Everyone on the team needs to be entrepreneurial, wear many hats and work in a fast-paced, ambiguous, and highly collaborative environment that’s more startup than big company. If this sounds intriguing, then we’d like to talk to you about a role on the Amazon Defect Elimination Analytics team. This team drives Amazon towards a defect-free customer experience by building technology that rapidly identifies defects, associates them with the information required to resolve the root cause, and prioritizes the multitude of improvement opportunities based on business and customer needs. To continue expanding our defect elimination program, we seek a passionate, results-oriented, Senior Data Engineer. The Senior Data Engineer will partner with Software Developers, Research Scientists, Business Intelligence Engineers, Program & Product Managers to provide insights on customer feedback, create key performance indicators for our products, and assist in feature engineering and model development. You will also play a key role in building the data infrastructure that powers AI/ML and LLM-based systems, including designing pipelines that feed agentic workflows and retrieval-augmented generation (RAG) architectures. The ideal candidate has strong business judgment, organization skills, backbone, experience measuring product performance, and collaborates well with product owners to answer key questions. The operating environment is fast paced and dynamic, however has a strong team orinted and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies, generative AI infrastructure, and exposure to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and developme
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