Senior Data Engineer, Price Perception and Evaluation

## Responsibilities - Design, build, and operate production-grade data pipelines for reference prices, strikethrough prices, savings data, and customer-impression datasets across worldwide marketplaces. - Build solid data lakes that power S-Team, leadership, finance, product, and analytics requests on reference-price topics, with discoverability, lineage, and quality checks designed in so BIEs and analysts can answer questions quickly and reproducibly. - Set the data architecture for how upstream pricing signals are transformed into trusted downstream datasets used by shopping experiences, AI features, executive analytics, and ad-hoc deep dives. - Lead cross-team data contracts across Pricing, Search, shopping detail pages, Deals and Promotions, international marketplaces, and partner teams that consume reference-price data. - Modernize legacy data pipelines onto modern data platforms, including cutover design, validation strategy, backfill planning, operational readiness, and deprecation of redundant datasets. - Raise the operational bar for data freshness, completeness, data-quality monitoring, and incident response across high-scale pricing datasets. - Mentor data engineers and software development engineers on data modeling, pipeline design, migration patterns, and high-quality operational mechanisms. - Lead the transformation of data engineering across the Pricing organization into the agentic AI era. Define when agents should handle rote migration or validation work, how engineers verify those outputs, and how proven patterns become team-wide standards. ## Requirements - 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, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices ## Nice to Have - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience troubleshooting and documenting findings ## Benefits - The role is part of a team that owns customer-facing pricing experiences that help customers understand value on Amazon, including reference prices, strikethrough prices, savings messages, and the data foundations behind those experiences. - The team is at the intersection of pricing, shopping customer experience, data engineering, product, and analytics. - The team values simple architectures, strong ownership, precise data definitions, and mechanisms that make the right thing easy for partner teams. - The team is actively changing how data engineering work gets done by using AI agents to accelerate migrations and operations while keeping engineers focused on design, correctness, and long-term maintainability.