Data Engineer, WW Ops Finance - S&A

Amazon is building a unified data management and discovery platform for worldwide Finance teams, and needs a customer-focused Data Engineer to design, scale, and automate the underlying data infrastructure.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services such as S3, Glue, Redshift, Lambda, EMR, and MWAA
• Develop and optimize data models, metadata management frameworks, and catalog systems to support fast, reliable data discovery for thousands of internal customers
• Build and maintain microservices and APIs (including API Gateway and Lambda) for platform capabilities like search, data ingestion, and cross-service integrations
• Implement data quality frameworks with monitoring and alerting to support reliability, freshness, and governance and compliance expectations
• Automate data onboarding workflows and self-service features to reduce manual work and shorten time-to-insight for data consumers and producers
• Work cross-functionally with product managers, BI engineers, and business stakeholders to translate business needs into scalable solutions
• Participate in system design, code reviews, and operational excellence practices including incident response, root cause analysis, and continuous improvement
• Contribute to GenAI-powered features and AI-driven workflows that improve data discovery and analytics experiences

Requirements

• 3+ years of data engineering experience
• 1+ year developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
• 1+ year developing and operating large-scale data structures for business intelligence analytics using SQL
• 1+ year developing and operating large-scale data structures for business intelligence analytics using Oracle
• 1+ year developing and operating large-scale data structures using ETL (Extract, Transform, Load) / ELT (Extract, Load, Transform) processes
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• Experience with data modeling, warehousing, and building ETL pipelines

Technologies

• Python, SQL, ETL, ELT
• AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
• API Gateway
• Oracle, OLAP technologies
• DataZone, OpenSearch
• Kinesis, FireHose, IAM roles and permissions
• Non-relational databases / data stores: object storage, document or key-value stores, graph databases, column-family databases
• Apache Spark, Elastic Map Reduce

Location

• Bellevue, WA (onsite)

Compensation

• USD 132,100 - 178,800 per year

Benefits

• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance and option for Supplemental life plans
• EAP
• Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

About the Team

• Part of the Worldwide Operations Finance Standardization & Automation (S&A) organization, building a unified data management and discovery platform serving global Finance teams
• Platform includes a dataset catalog, metric catalog, AI assistant, and interactive query experience for thousands of customers
• Actively scaling to support 10+ domains and data producer teams
• Technology includes AWS services such as DataZone, OpenSearch, API Gateway, Lambda, microservices architecture, and modern frontend frameworks