Data Engineer, PXT Central Science — AWS & ML Impact

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

Benefits offered by this job

Health insurance

Paid time off

Job summary

Amazon.com Services LLC is seeking a data engineer to enhance data architecture, standardize metrics, and build end-to-end data solutions for complex analytical problems at scale. You will collaborate with economists, data scientists, and software engineers to translate data into actionable insights.

The role emphasizes productionizing models, developing robust data pipelines in AWS, and supporting cross-team analytics across multiple AWS accounts with strong security practices.

Qualifications

• 3+ years of data engineering experience.
• Experience with Python, Java, Scala, or NodeJS.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with AWS services including Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM.
• Experience with non-relational databases / data stores.

Responsibilities

• Design and maintain scalable data pipelines using native AWS services; build monitoring and error handling for data workflows.
• Develop and maintain APIs and data serving layers that productionize science models; build batch and real-time inference pipelines.
• Build scalable feature extraction and processing frameworks; implement data quality and validation checks; support evolving schemas.
• Collaborate with economists, data scientists, and software engineers to translate analyses into production-ready solutions.
• Maintain layered data systems used by economists and scientists; build automated reporting; manage multi-account AWS environments with security best practices.

Skills

Data engineering

Programming languages

ETL pipelines

Data modeling

NoSQL databases

Software development lifecycle

Tools

AWS

Redshift

S3

Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon.com Services LLC is seeking a data engineer to enhance data architecture, standardize metrics, and build end-to-end data solutions for complex analytical problems at scale. You will collaborate with economists, data scientists, and software engineers to translate data into actionable insights.

The role emphasizes productionizing models, developing robust data pipelines in AWS, and supporting cross-team analytics across multiple AWS accounts with strong security practices.