Data Platform Engineer for AI-Powered Identity Analytics

Amazon; Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A leading technology company is seeking a Software Development Engineer for their Identity Analytics team in Seattle. The role involves designing and operating scalable data pipelines, owning the production lifecycle for ML models, and building infrastructure to process petabyte-scale data. Candidates should have extensive experience in software development, data processing, and machine learning fundamentals. This role offers a competitive salary and a comprehensive benefits package.

Qualifications

• 3+ years of professional software development experience.
• 2+ years of design or architecture experience.
• 1+ years of experience designing large-scale distributed systems.

Responsibilities

• Design and operate data ingestion, transformation, and loading pipelines.
• Own the production lifecycle for ML models.
• Build and maintain feature engineering infrastructure.
• Drive platform resilience and operational excellence.
• Partner with various teams to understand analytical requirements.
• Build onboarding capabilities for new teams.
• Contribute to the team's technical direction.

Skills

C#

C++

Java

Perl

Machine Learning

AI product development

Education

Bachelor's degree in Computer Science

Tools

AWS Glue

EMR

Spark

Athena

S3

Redshift

SageMaker

ECS

EKS

Job description

A leading technology company is seeking a Software Development Engineer for their Identity Analytics team in Seattle. The role involves designing and operating scalable data pipelines, owning the production lifecycle for ML models, and building infrastructure to process petabyte-scale data. Candidates should have extensive experience in software development, data processing, and machine learning fundamentals. This role offers a competitive salary and a comprehensive benefits package.