Data Engineer: Build Scalable Pipelines & Productionize Models

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle is seeking a Data Engineer to join a cross-functional team of economists and scientists. You will own data pipelines, productionize models, and build scalable analytics infrastructure to drive employee insight and business outcomes.

You will collaborate with economists, data scientists, and software engineers to standardize metrics, build features, and deliver actionable data products using AWS services.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.

Responsibilities

• Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services; optimize performance, reliability, and cost efficiency.
• Model Productionization & API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines.
• Data Integration & Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements.
• Cross-team Collaboration: Partner with economists, data scientists, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions.
• Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices.

Education

Bachelor's degree in CS/Engineering/Mathematics

Bachelor's degree or above in computer science

Tools

Python

Java

Scala

NodeJS

AWS Glue

EMR

Redshift

S3

Lambda

IAM

Job description

Amazon.com Services LLC in Seattle is seeking a Data Engineer to join a cross-functional team of economists and scientists. You will own data pipelines, productionize models, and build scalable analytics infrastructure to drive employee insight and business outcomes.

You will collaborate with economists, data scientists, and software engineers to standardize metrics, build features, and deliver actionable data products using AWS services.