Senior Data Engineer, Customer Service

Senior Data Engineer, Amazon Customer Service

Job :  |  Services LLC

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? Each member of the team is entrepreneurial, wears many hats, and works in a fast‑paced, ambiguous, and highly collaborative environment that feels more like a startup than a large company. The Amazon Defect Elimination Analytics team drives the company toward a defect‑free customer experience by building technology to quickly identify defects, associate required information to resolve root causes, and prioritize improvement opportunities based on business and customer needs.

• Design, develop, and maintain scaled, automated, user‑friendly systems, reports, dashboards, etc.
• Partner with operations, business teams, economists, and ML teams to consult, develop, and implement KPI’s, automated reporting/process solutions, and data infrastructure improvements that meet business needs.
• Build and maintain data infrastructure for AI agent systems, including vector databases, embedding pipelines, and retrieval‑augmented generation (RAG) data stores.
• Design data architectures that enable agentic workflows—structured data access layers, tool‑use APIs, context management systems that AI agents consume autonomously, and self‑serve analytics.
• Develop observability and evaluation pipelines for LLM‑powered features, including tracking model performance, hallucination rates, latency, and cost metrics at scale.
• Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets, including unstructured text corpora used for generative AI applications.
• Serve as liaison with business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.
• Stay current with advances in AI/ML data infrastructure (e.g., feature stores, vector search, streaming inference pipelines) and evaluate their applicability to defect elimination use cases.

We value people with diverse backgrounds and skillsets. If you are passionate about this role and want to make an impact on a global scale, we encourage you to apply.

• 5+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language (Python, Java, Scala, or Node.js)
• Experience mentoring team members on best practices
• Experience with AI/ML technologies

• Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
• Experience operating large data warehouses

Location:

USA, TX, Austin

Salary range:  –  USD annually

Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.