Data Engineer, WW Pricing - Data & Analytics

The Data Engineer role within WW Pricing Data & Analytics at Amazon focuses on building data pipelines and ML data infrastructure to support pricing algorithms and reporting, collaborating with data scientists and business analysts across pricing initiatives.

Location

Seattle, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

Responsibilities

• Design and implement next generation data pipelines and business intelligence solutions
• Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, and Lambda
• Deliver robust data architecture and pipelines to support business analysts, data scientists, and customer reporting needs
• Collaborate with other technology teams to extract, transform, and load data from diverse data sources
• Improve ongoing reporting and analytics processes, automating self-service capabilities for users

Requirements

• Minimum 3 years of data engineering experience
• At least 1 year of developing and operating large-scale BI data structures using ETL/ELT processes
• At least 1 year of deploying BI data structures with OLAP technologies
• At least 1 year of experience in data modeling for large-scale BI data structures
• At least 1 year of SQL development and operation in BI contexts
• At least 1 year of Oracle experience in BI environments
• Experience with data modeling, data warehousing, and building ETL pipelines

Technologies

• EC2
• RDS
• Redshift
• Kinesis
• EMR
• Lambda
• S3
• AWS Glue
• Firehose
• IAM
• SQL
• Oracle

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)
• Adoption and surrogacy reimbursement coverage