Data Engineer III — Manufacturing Analytics & ML

Amazon; Factoria (WA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Medical, Dental, Vision

PTO

401(k) Plan

Maternity/Parental Leave

Job summary

Amazon Manufacturing Services (AMS) is seeking a Data Engineer III to design and operate data pipelines on AWS, maintain data warehouses, and build analytics for shop floor operations and leadership. You will collaborate with SDEs and stakeholders to deliver scalable data solutions and ML workflows that drive throughput, utilization, and quality improvements.

The role emphasizes ownership of data pipelines, data quality, and integration with external sources, with opportunities to shape

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Responsibilities

• Design and operate data pipelines on AWS Glue (PySpark), Kinesis, S3, and EventBridge to ingest DynamoDB streams and enterprise system data into the AMS data lake.
• Model and maintain the Redshift warehouse and S3/Athena data lake that power analytics across AMS services.
• Build ingestion and modeling layers for enterprise data sources including SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance.
• Develop QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs.
• Build and deploy ML models and pipelines for manufacturing use cases such as demand forecasting, machine health prediction, and scheduling optimization.
• Own data quality, lineage, and documentation across the AMS analytics stack.
• Collaborate with senior SDEs on architecture, service event schemas, and integration patterns, while holding significant ownership over your part of the data domain.

Skills

Data engineering

Data modeling

Warehousing

ETL pipelines

SQL

Python/Java/Scala/NodeJS

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Manufacturing Services (AMS) is seeking a Data Engineer III to design and operate data pipelines on AWS, maintain data warehouses, and build analytics for shop floor operations and leadership. You will collaborate with SDEs and stakeholders to deliver scalable data solutions and ML workflows that drive throughput, utilization, and quality improvements.

The role emphasizes ownership of data pipelines, data quality, and integration with external sources, with opportunities to shape