Amazon.com Services LLC

Data Science, Data Engineering, customer service

SeniorDataEngineer

$155–209k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Data Science, Data Engineering, customer service
Problems you'll solve

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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