Data Engineer: Production ML Pipelines on AWS

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

Job summary

Amazon.com Services LLC is seeking an experienced Data Engineer to join the PXTCS team, working with economists, data scientists, software engineers, and applied scientists to turn ML/Generative AI models into reliable production systems.

You will enhance data architecture, standardize metrics, and deliver end-to-end data engineering solutions for complex analytical problems, collaborating across teams to translate requirements into scalable insights.

Qualifications

• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, architectures, code reviews, source control, CI/CD, testing and operations.
• 3+ years of data engineering experience.
• Experience in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with AWS technologies like Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).

Responsibilities

• Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; 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 economics, data science, 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.

Skills

Data engineering

Software engineering practices

Python/Java/Scala/NodeJS

Tools

AWS services (Redshift, S3, Glue, EMR, Kinesis, Lambda)

Non-relational databases

Job description

Amazon.com Services LLC is seeking an experienced Data Engineer to join the PXTCS team, working with economists, data scientists, software engineers, and applied scientists to turn ML/Generative AI models into reliable production systems.

You will enhance data architecture, standardize metrics, and deliver end-to-end data engineering solutions for complex analytical problems, collaborating across teams to translate requirements into scalable insights.