Data Engineer, WW Ops Finance - S&A

Amazon is seeking a customer-focused Data Engineer for Worldwide Operations Finance Standardization & Automation (S&A) to build and scale a unified data management and discovery platform for global Finance teams.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services including 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 users
• Build and maintain microservices and APIs using API Gateway and Lambda for platform capabilities such as search, data ingestion, and cross-service integrations
• Implement data quality frameworks, monitoring, and alerting to maintain reliability, freshness, and compliance with governance standards
• Automate data onboarding and self-service workflows to reduce manual work and improve time-to-insight
• Partner with cross-functional teams (product managers, BI engineers, and business stakeholders) to translate business requirements into scalable technical solutions
• Support system design and code reviews, and follow operational excellence practices such as 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 for business intelligence analytics using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
• 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
• AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
• API Gateway, ETL, ELT
• 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 MapReduce (EMR)

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
• Scaling to support 10+ domains and data producer teams
• Stack includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks

Preferred Qualifications

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Experience with Apache Spark / Elastic MapReduce