Senior Data Engineer — Greenfield Finance Data Platform

Amazon; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon is seeking a Senior Data Engineer to shape a new finance data platform integral to the FAIM organization. This role involves architecting ETL pipelines, integrating complex data sources, and leading data quality initiatives.

The ideal candidate will possess deep SQL expertise, hands-on experience with Amazon's data stack, and a passion for building automation tools. If you thrive in a fast-paced environment while mentoring junior engineers, this opportunity at Amazon is perfect for you.

Qualifications

• 5+ years of experience architecting and operating ETL pipelines.
• Strong judgment in dimensional data modeling.
• Ability to mentor junior engineers and lead data partnerships.

Responsibilities

• Set the technical direction for the FAIM data warehouse and ETL pipelines.
• Build and operate trustworthy data tools and dashboards.
• Integrate telemetry into a clean, query-ready layer.
• Deliver on key operational cycles with bias for action.
• Simplify complex multi-source data into scalable models.
• Drive code reviews and enforce data quality standards.

Skills

Deep SQL fluency

Production ETL on Redshift or equivalent

Hands-on experience with Amazon data stack

Dimensional data modeling

Python for orchestration

Ability to operate in ambiguity

Experience in AI-native tools

Tools

Datanet/ETLM

Cradle

Andes 3.0

QuickSight

Job description

Amazon is seeking a Senior Data Engineer to shape a new finance data platform integral to the FAIM organization. This role involves architecting ETL pipelines, integrating complex data sources, and leading data quality initiatives.

The ideal candidate will possess deep SQL expertise, hands-on experience with Amazon's data stack, and a passion for building automation tools. If you thrive in a fast-paced environment while mentoring junior engineers, this opportunity at Amazon is perfect for you.