Data Engineer: ML Production for People Experience

Amazon; San Francisco (CA); On-site; USD 152,000 - 206,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon's PXTCS team seeks a Data Engineer to transform ML and Generative AI into reliable, scalable production systems. You will work with economists, data scientists, and engineers to standardize metrics and translate data into actionable insights that improve benefits, compensation, and workforce experiences at scale.

You will design scalable data pipelines on AWS (Glue, EMR, Lambda), build API layers for model serving, ensure data quality, and collaborate across teams to deliver

Qualifications

• 3+ years of data engineering experience.
• Experience with Python, Java, Scala, or NodeJS for data processing.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Lambda, IAM).
• Experience with non-relational data stores.

Responsibilities

• Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda).
• Develop APIs and data serving layers to productionize ML models; build batch and real-time inference pipelines.
• Build scalable feature extraction and processing frameworks; ensure data quality and robust validation checks.
• Collaborate with economists, data scientists, and software engineers to translate analytics requirements into production-ready solutions.
• Maintain layered data systems and automate reporting across multiple AWS accounts with security best practices.

Skills

Data engineering

Python/Java/Scala

AWS data services

ETL pipelines

Data modeling

Cross-team collaboration

Tools

AWS Glue

AWS EMR

AWS Lambda

Redshift

Kinesis

S3

Job description

Amazon's PXTCS team seeks a Data Engineer to transform ML and Generative AI into reliable, scalable production systems. You will work with economists, data scientists, and engineers to standardize metrics and translate data into actionable insights that improve benefits, compensation, and workforce experiences at scale.

You will design scalable data pipelines on AWS (Glue, EMR, Lambda), build API layers for model serving, ensure data quality, and collaborate across teams to deliver