Data Engineer, Amazon Ads

Overview In this role you will shape a ground-up finance data platform for Amazon Ads’ FAIM initiative, turning raw data into trusted decisions for greenfield products. You’ll work within a fast-moving finance team to define standards and build durable data products that scale. You’ll partner across Finance, PM-T, Science, and Engineering to deliver end-to-end data infrastructure and reporting. This is a chance to influence data quality, lineage, and reliability at scale and to mentor growing engineers. You’ll be at the core of turning ambiguity into concrete, impactful data solutions. Compensation / Benefitshealth insurance (medical, dental, vision)401(k) matchingpaid time offparenteral leaveRSUssign-on payments ResponsibilitiesOwn the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layerArchitect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truthIntegrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layerMove fast to deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive requests with bias for actionSimplify complexity by turning multi-source data into scalable dimensional models with clear documentationRaise the bar by driving code and design reviews and setting data quality and pipeline reliability standards Key requirements5+ years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS)Experience mentoring team members on best practicesExperience with AI tools daily to increase productivity in everyday work? (yes/no) unknownmentoring team membersability to communicate with users and cross-functional teamscomfort working in ambiguitySQLPython (or equivalent)data modeling and warehousing