Manufacturing Data Engineer: ML & Dashboards for Ops

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

Benefits offered by this job

RSUs

Job summary

Amazon Manufacturing Services (AMS) is seeking a data engineer to turn manufacturing data into decisions. You will own pipelines, warehouse, dashboards, and ML workflows that deliver throughput, utilization, and quality insights for shop floor users and AMS leadership.

You will design, build, and optimize data models and ETL processes across SAP S/4HANA, JobBoss, Siemens Teamcenter, and other systems while partnering with senior SDEs on architecture and integration patterns.

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in 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

SQL

Python

Java

Scala

NodeJS

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Manufacturing Services (AMS) is seeking a data engineer to turn manufacturing data into decisions. You will own pipelines, warehouse, dashboards, and ML workflows that deliver throughput, utilization, and quality insights for shop floor users and AMS leadership.

You will design, build, and optimize data models and ETL processes across SAP S/4HANA, JobBoss, Siemens Teamcenter, and other systems while partnering with senior SDEs on architecture and integration patterns.