Pricing Data Engineer: GenAI-Driven Pipelines

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

Job summary

Amazon.com Services LLC in Seattle is seeking a Data Engineer to build data models and ML data infrastructure powering pricing algorithms. You’ll own data collection and transformation, support analytics, and develop GenAI-based solutions to improve operational efficiency.

You will collaborate with Pricing software teams to drive business initiatives and deliver robust data flows across large-scale datasets. Strong data modeling and AWS skills are essential for success in this role.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for BI analytics using ETL/ELT processes.

Responsibilities

• Architecture design and implementation of next generation data pipelines and BI solutions.
• Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
• Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

Skills

Data engineering

SQL

ETL/ELT

OLAP

Data modeling

Data warehousing

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Oracle

Job description

Amazon.com Services LLC in Seattle is seeking a Data Engineer to build data models and ML data infrastructure powering pricing algorithms. You’ll own data collection and transformation, support analytics, and develop GenAI-based solutions to improve operational efficiency.

You will collaborate with Pricing software teams to drive business initiatives and deliver robust data flows across large-scale datasets. Strong data modeling and AWS skills are essential for success in this role.