Data Engineer, Global Finance Data Platform & Discovery

Amazon; Bellevue (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Engineer to build and scale a unified data management and discovery platform used by global Finance teams. You will design scalable data infrastructure, ETL pipelines, and platform services, integrating diverse data sources and enabling self-service analytics.

You will work with Python, SQL, and AWS, collaborating with product managers, BI engineers, and business stakeholders to translate requirements into reliable, scalable solutions.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree.
• Experience in at least one modern scripting or programming language (Python/Java/Scala/NodeJS).
• Knowledge of distributed systems as it pertains to data storage and computing.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services to support enterprise‑scale data platforms.
• Develop and optimize data models, metadata management frameworks, and catalog systems for fast, reliable data discovery.
• Build and maintain microservices and APIs that power platform features including search, data ingestion, and cross‑service integrations.
• Implement data quality frameworks, monitoring, and alerting for data reliability and governance.
• Automate data onboarding workflows and self‑service capabilities to reduce manual effort.
• Collaborate with cross‑functional teams to translate business requirements into scalable technical solutions.
• Participate in system design, code reviews, and operational excellence practices including incident response and root cause analysis.
• Contribute to GenAI-powered features and AI-driven workflows that enhance data discovery and analytics.

Skills

Data engineering

Data modeling

ETL pipelines

Python

SQL

Distributed systems

Education

Bachelor's degree

Tools

AWS

Redshift

S3

OpenSearch

API Gateway

Lambda

MWAA

DataZone

Job description

Amazon is seeking a Data Engineer to build and scale a unified data management and discovery platform used by global Finance teams. You will design scalable data infrastructure, ETL pipelines, and platform services, integrating diverse data sources and enabling self-service analytics.

You will work with Python, SQL, and AWS, collaborating with product managers, BI engineers, and business stakeholders to translate requirements into reliable, scalable solutions.