Amazon is hiring a customer-centric Data Engineer to help build and scale a unified data management and discovery platform for global Finance teams.

Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services (S3, Glue, Redshift, Lambda, EMR, MWAA)
Develop and optimize data models, metadata management frameworks, and catalog systems to enable fast, reliable data discovery for thousands of internal customers
Build and maintain microservices and APIs using API Gateway and Lambda to support platform capabilities such as search, data ingestion, and cross-service integrations
Implement data quality frameworks, monitoring, and alerting to maintain reliability, freshness, and governance compliance
Automate data onboarding and self-service workflows to reduce manual work and improve time-to-insight
Partner with product managers, BI engineers, and business stakeholders to translate business requirements into scalable technical 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 the data discovery and analytics experience

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) and ELT (Extract, Load, Transform) processes
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field
Experience with data modeling, warehousing, and building ETL pipelines

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/key-value stores, graph databases, column-family databases
Apache Spark, Elastic Map Reduce

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/key-value stores, graph databases, column-family databases)
Experience with Apache Spark / Elastic Map Reduce

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 to help thousands of customers find and act on data faster
Rapid scaling to support 10+ domains and data producer teams
Tech includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks

Location: Bellevue, WA (onsite)

Compensation: USD 132,100 - 178,800 per year

Data Engineer, WW Ops Finance - S&A

Job Description